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X-WR-CALNAME:Institute of Statistical Research and Training
X-ORIGINAL-URL:https://isrt.ac.bd
X-WR-CALDESC:Events for Institute of Statistical Research and Training
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TZID:UTC
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TZOFFSETFROM:+0000
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TZNAME:UTC
DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20220309T110000
DTEND;TZID=UTC:20220309T170000
DTSTAMP:20251025T181140
CREATED:20220302T171615Z
LAST-MODIFIED:20220302T171615Z
UID:4999-1646823600-1646845200@isrt.ac.bd
SUMMARY:Freshers' Reception and Farewell Program
DESCRIPTION:ISRT is going to organize “Freshers’ Reception (batch 26 & 27) and Farewell (batch 21 & 22) Program” on Wednesday\, March 09\, 2022 at 11.00am at the TSC (auditorium). Honorable Pro-Vice-Chancellor (academic) Professor A. S. M. Maksud Kamal has given kind consent to join the program as the Chief Guest\, and honorable Dean\, Faculty of Science\, Professor Dr. Md. Abdus Samad will join the event as a Special Guest.
URL:https://isrt.ac.bd/event/freshers-reception-and-farewell-program/
LOCATION:TSC\, Bangladesh
CATEGORIES:Reception and Farewell
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220201T180000
DTEND;TZID=UTC:20220308T210000
DTSTAMP:20251025T181140
CREATED:20211230T182218Z
LAST-MODIFIED:20220103T052706Z
UID:4943-1643738400-1646773200@isrt.ac.bd
SUMMARY:Online SPSS and STATA training programs to start from February 1\, 2022
DESCRIPTION:The upcoming SPSS and Stata training programs will begin on February 1\, 2022. For further details (program schedule\, registration etc.) please click on the link https://www.isrt.ac.bd/training/spss-and-stata/
URL:https://isrt.ac.bd/event/spss-and-stata-training-programs-to-start-from-february-1-2022/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211218T200000
DTEND;TZID=UTC:20211218T210000
DTSTAMP:20251025T181140
CREATED:20211213T132043Z
LAST-MODIFIED:20211213T132043Z
UID:4922-1639857600-1639861200@isrt.ac.bd
SUMMARY:Seminar on "What it means to be an Applied Statistician -- an industry perspective"
DESCRIPTION:Abstract:\nThis question was asked many times in the past. I am sure all of you have pondered about it at some point in your academic life. In this talk\, I will explain what it truly means to be an applied statistician. Spoiler alert: statistics is inherently applied from an industry perspective. We do not differentiate between a statistician and an applied statistician. \nSo are you ready to apply your skills? What do we expect a statistician to do in the industry? Are academic institutions making you industry-ready? There is no one correct answer here. It depends on the context. In this talk\, I will share my experience in the industry that would help you understand the opportunities ahead and how you can align your focus and take steps to make the most out of it. \n  \nSpeaker: \nEnayetur Raheem\, Ph.D.\nPrincipal Data Scientist at ConcertAI\n(A DaaS AI startup in Oncology)\nUnited States of America
URL:https://isrt.ac.bd/event/seminar-on-what-it-means-to-be-an-applied-statistician-an-industry-perspective/
LOCATION:Online\, Institute of Statistical Research and Training\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Deltin 7\, Please Select\, 1000\, Bangladesh
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211019T113000
DTEND;TZID=UTC:20211019T123000
DTSTAMP:20251025T181140
CREATED:20210930T173830Z
LAST-MODIFIED:20211018T050015Z
UID:4853-1634643000-1634646600@isrt.ac.bd
SUMMARY:Seminar on Improved Statistical Approach for Climate Projection over Bangladesh using Downscaling of Global Climate Model Outputs
DESCRIPTION:Title: Improved Statistical Approach for Climate Projection over Bangladesh using Downscaling of Global Climate Model Outputs \nSpeaker: Md. Bazlur Rashid \nAbstract:\nBangladesh is facing from severe impacts of climate change because of its low-lying coastal\nareas\, deforestation\, and rapid human population growth\, technological and industrial\nintervention. The climate change parameters namely\, temperature\, heavy rainfall\, sea surface\ntemperature\, frequency of floods\, cyclones and storm surges are showing significant changed at\nevery year and it has a massive impact on food production which may turn into food uncertainty\nby amplifying the environmental and socio-economic pressure. The impact of climate change on\nenvironment is immeasurable and it has large threat in our country. Appropriate strategies based\non the climate information research will reduce the vulnerability of livelihoods and\ninfrastructures to future climate change and contributes to achieve sustainability in resources.\nClimate change projection poses an unprecedented challenge for meteorology\, climatology etc.\nGlobal Climate Model (GCM) has evolved from the Atmospheric General Circulation Models\n(AGCMs) broadly used for daily\, seasonal and long term climate projection. The most widely\ndocumented application is the projection of future climate conditions under several scenarios of\nincreasing atmospheric components. Over the last few eras\, GCMs have been developed to\nmatch the present climate system and to project future climate scenarios. Despite outstanding\nprogress\, GCMs do not deliver seamless simulations of reality and cannot afford the specifics\non very small spatial scales due to imperfect scientific understanding and limitations of\navailable observations in our country. For connecting the gap between the scale of GCMs and\ncrucial resolution for practical applications\, downscaling provides climate change information\nat a suitable spatial and temporal scale from the GCM data. No downscaling for Bangladesh of\ndetail temperature and precipitation has been undertaken. Current research in Bangladesh has not\naddressed seasonal based climate projections. Extreme events especially temperature and rainfall\nalong with seasonality\, under future climate in Bangladesh represent a further research gap and\nopportunity for this research. The main object of study is to develop efficient statistical\nmethods for climate projection. The specific objectives are (i) to identify suitable model with\nbias corrections for assessing and understanding climate impacts on rainfall and temperature\nusing climate model outputs; (ii) to explore the efficiency of the bias correction statistical\ndownscaling method in addressing the model-related uncertainties involved in future climate\npredictions; (iii) to classify a suitable downscaling approach for climate model data to allow\nseasonal meteorological climate impact studies and (iv) to cross check between available\nstatistical downscaling techniques for future climate projections and scenarios generation over\nBangladesh.\nTo achieve the objectives\, this research connects the gap between large and local scale climate\nvariables\, a number of statistical downscaling methods are used. A stepwise multiple linear\nregression method is used in study. One significant motivation behind the empirical statistical\ndownscaling method applied in this research is to make use of the large scales that the models \nare able to reproduce realistically to say something about local changes. Altogether GCMs have\na minimum skillful scale which means that their separate grid-box values are not a good diagram\nof the area they represent in the actual world (because computers work with discrete numbers).\nThe procedure of common EOF analysis makes it possible to identify common spatial patterns in\nreanalysis and GCM data on a scale that is good represented by climate models.\nThis study reveals that future CO 2 emissions are expected to have severe consequences for the\nwinter season in Bangladesh in terms of significant warming in the whole country. All emission\nscenarios show an increasing mean temperature in Bangladesh\, but while RCP2.6 shows the\ntemperature plateauing mid-century\, the average increase is 2 times higher in the far future\ncompared to the near future assuming RCP4.5\, and 4 times higher assuming RCP8.5. Finally\,\nthis research demonstrates that while warming may be unavoidable\, there are still opportunities\nto limit the severity of climate change in the future.
URL:https://isrt.ac.bd/event/improved-statistical-approach-for-climate-projection-over-bangladesh-using-downscaling-of-global-climate-model-outputs/
LOCATION:Online\, Institute of Statistical Research and Training\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Deltin 7\, Please Select\, 1000\, Bangladesh
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210410T100000
DTEND;TZID=UTC:20210410T120000
DTSTAMP:20251025T181140
CREATED:20210410T051249Z
LAST-MODIFIED:20210410T051249Z
UID:4734-1618048800-1618056000@isrt.ac.bd
SUMMARY:An Introduction to R Shiny Application
DESCRIPTION:R Shiny is a platform which allows to utilize all the features of R programming for creating an interactive web application (App). Web application development is recently becoming popular due to several respects. For instance\, the interactive nature of a web application allows us to visualize and/or analyze real-time (or dynamic) data. Popular examples include real-time monitoring of utility usage\, online updating of dynamic models\, weather forecasting\, etc. Simple sharing of an R Shiny App via a local or shiny server helps disseminate our work to a larger audience\, which can eventually improve the impact of the work. We can also use R Shiny App as an attractive tool for educational and teaching purposes. \nThe goal of this workshop is to teach the basic skeleton of developing an R Shiny App. Knowledge about R is preferred\, however\, basic programming knowledge would be okay to participate in this workshop. This workshop will show the basic syntax structure and will demonstrate reproducible examples of R Shiny Apps. At the end of the workshop\, an example of our recent development will be displayed with the audience. \n  \nResource Person’s Biography: \nMd. Tuhin Sheikh is a Lecturer of Applied Statistics at the Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7. Currently\, he is pursuing his Ph.D. in Statistics at the Deltin 7 Aviator গেম টাকা ইনকাম of Connecticut (UConn). He worked as a Biostatistics and Data Science Intern at the Boehringer Ingelheim in Summer 2020. His research areas of interest include competing risks survival data\, Bayesian computation\, joint modelling of longitudinal and survival data\, model assessment\, interim analysis\, deep neural network\, etc. He has experience as a research assistant with the UNCCH-UConn research group\, UConn School of Nursing and\, UConn Utility Operations and Energy Management. He has also experience in teaching undergraduate level Statistics courses and conducting workshops at international conferences. He has been awarded for his academic excellence in teaching.
URL:https://isrt.ac.bd/event/an-introduction-to-r-shiny-application/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210323T193000
DTEND;TZID=UTC:20210323T203000
DTSTAMP:20251025T181141
CREATED:20210323T074524Z
LAST-MODIFIED:20210323T102147Z
UID:4701-1616527800-1616531400@isrt.ac.bd
SUMMARY:ISRT Golden Jubilee Gold Award Program at 7.30PM Tuesday\, March 23\,2021
DESCRIPTION:The ISRT Golden Jubilee Gold Medal Award program\, 2020 scheduled to be held on March 23\, 2021 (Tuesday) at 7:30 pm online with the zoom. The awardee is Md. Rasel Biswas session 2018-2019 (Batch 22). Professor Dr. A. S. M. Maksud Kamal\, Pro-Vice-Chancellor (Academic)\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 has given kind consent to attend the program as chief guest.  \n  \nGolden jubilee 2020
URL:https://isrt.ac.bd/event/isrt-golden-jubilee-gold-award-program-at-7-30pm-tuesday-march-232021/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210320T200000
DTEND;TZID=UTC:20210320T210000
DTSTAMP:20251025T181141
CREATED:20210318T074357Z
LAST-MODIFIED:20210318T081208Z
UID:4680-1616270400-1616274000@isrt.ac.bd
SUMMARY:Clinical Trials and application of Statistical Modeling and Machine Learning in Biomedical Data
DESCRIPTION:Title: Clinical Trials and application of Statistical Modeling and Machine Learning in Biomedical Data \n  \nAbstract: \nClinical trials/research are conducted to examine the clinical questions of practicing physicians. It is important to design trials appropriately in advance.  A randomized\, controlled trial is the ultimate design for treatment comparisons at the final confirmatory stage. The need and impact of a proper clinical trial has comprehended during COVID-19 pandemic. Over the years\, there has been substantial advancement of clinical trial design\, conduct of study and analysis of clinical trial data. In my talk\, I will discuss my experience with the evolvement of trial design including group sequential and adaptive trials\, analysis of clinical data using frequentist and Bayesian approach\, techniques to adjust for multiplicity\, Estimand framework and application of causal inference\, advanced data visualization and use of Machine Learning and Deep Learning to build predictive models for biomedical data. \nSpeaker: Jahangir Alam\, MS\n                Data Scientist Associate Director\,\n                Novartis Pharmaceutical\, New Jersey\, USA.
URL:https://isrt.ac.bd/event/clinical-trials-and-application-of-statistical-modeling-and-machine-learning-in-biomedical-data/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210207T180000
DTEND;TZID=UTC:20210307T210000
DTSTAMP:20251025T181141
CREATED:20210104T022254Z
LAST-MODIFIED:20210104T022254Z
UID:4598-1612720800-1615150800@isrt.ac.bd
SUMMARY:R training program (online) starts from February 7\, 2021
DESCRIPTION:The upcoming R training program (online) starts from February 7\, 2021. For further details (program schedule\, registration etc.) please click on the link https://www.isrt.ac.bd/training/r/.
URL:https://isrt.ac.bd/event/r-training-program-online-starts-from-february-7-2021/
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210102T180000
DTEND;TZID=UTC:20210202T210000
DTSTAMP:20251025T181141
CREATED:20201129T084833Z
LAST-MODIFIED:20201223T142159Z
UID:4531-1609610400-1612299600@isrt.ac.bd
SUMMARY:SPSS and Stata training programs to start from January 02\, 2021
DESCRIPTION:The upcoming SPSS and Stata training programs will begin on January 02\, 2021. For further details (program schedule\, registration etc.) please click on the link https://www.isrt.ac.bd/training/spss-and-stata/
URL:https://isrt.ac.bd/event/spss-and-stata-training-programs-to-start-on-january-02-2021/
CATEGORIES:training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20201231T190000
DTEND;TZID=UTC:20201231T210000
DTSTAMP:20251025T181141
CREATED:20201226T163334Z
LAST-MODIFIED:20201226T163444Z
UID:4582-1609441200-1609448400@isrt.ac.bd
SUMMARY:Condolence meeting and Dua event
DESCRIPTION:On the sad demise of QM Husain Professor Ataharul Islam\, the ISRT family is going to organize a “Condolence meeting and Dua event” online on Thursday\, Dec 31\, 2020 at 7.00PM through Zoom Platform given below. The family member of Prof. Ataharul Islam sir has given their kind consent to attend this program.\n\nYou are cordially invited to join the program and share your condolences on the passing of the great statistician.\n\n\nZOOM LINK: https://bdren.zoom.us/j/62057546037
URL:https://isrt.ac.bd/event/condolence-meeting-and-dua-event/
CATEGORIES:other
ATTACH;FMTTYPE=image/jpeg:https://isrt.ac.bd/wp-content/uploads/2020/12/Atahar-sir.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20201207T073000
DTEND;TZID=UTC:20201208T170000
DTSTAMP:20251025T181141
CREATED:20201102T075618Z
LAST-MODIFIED:20201109T073349Z
UID:4484-1607326200-1607446800@isrt.ac.bd
SUMMARY:International Symposium on Advanced Data Analysis and Operational Research (iADORE2020)
DESCRIPTION:  \nWelcome to the International Symposium on Advanced Data Analysis and Operational Research (iADORE2020). An international symposium that focusses on applications relating to areas of statistics and operation research. The symposium will be held from December 7 through December 8\, 2020\, virtually. iADORE2020 is an excellent platform for statisticians\, operational researchers and industry practitioners to get the latest insight and updates on various applications in many problems. \nInstitute of Statistical Research and Training (ISRT)\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Bangladesh is jointly organizing iADORE2020 with Universiti Teknologi Malaysia (UTM) (the host of iADORE2020) and Andalas Deltin 7 Aviator গেম টাকা ইনকাম\, Indonesia. \nThe theme of the conference is “Enriching Transdisciplinary Research Collaborations Beyond Borders”. This event includes keynote\, skills showcase and contributed sessions. \nFor details visit https://science.utm.my/iadore2020 \n 
URL:https://isrt.ac.bd/event/international-symposium-on-advanced-data-analysis-and-operational-research-iadore2020/
CATEGORIES:Symposium
ATTACH;FMTTYPE=image/jpeg:https://isrt.ac.bd/wp-content/uploads/2020/11/Poster-iADORE2020.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20201010T193000
DTEND;TZID=UTC:20201010T210000
DTSTAMP:20251025T181141
CREATED:20201030T063523Z
LAST-MODIFIED:20201030T063523Z
UID:4474-1602358200-1602363600@isrt.ac.bd
SUMMARY:Opportunities and Challenges for Statisticians During Pandemics
DESCRIPTION:Title “Opportunities and Challenges for Statisticians During Pandemics” \nThe speaker: Abdus S. Wahed\, Professor of Biostatistics\, School of Public Health\, Deltin 7 Aviator গেম টাকা ইনকাম of Pittsburgh\, USA. \nDate & time: Saturday October 10\, 2020 at 7.30 PM (Deltin 7 time). \n  \n—————————Abstract———————————————————————– \nCOVID 19 has dramatically changed the lifestyles of people around the globe. In the midst of pandemic\, all of us are struggling to lead a “normal” life that we have been used to: many have lost their jobs\, homes\, and so on. While the first responders\, e.g.\, police\, physicians\, nurses\, grocery vendors are keeping us afloat risking their lives to COVID\, as statisticians\, we have other challenges to overcome. In this talk\, I will informally talk about challenges and opportunities that pandemic brings to the life of a statistician\, and hope to have a fruitful discussion with colleagues and students. \n———————————————————————————————————
URL:https://isrt.ac.bd/event/opportunities-and-challenges-for-statisticians-during-pandemics/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200726T193000
DTEND;TZID=UTC:20200726T210000
DTSTAMP:20251025T181141
CREATED:20201030T063410Z
LAST-MODIFIED:20201030T063410Z
UID:4472-1595791800-1595797200@isrt.ac.bd
SUMMARY:R Shiny app for the beginners
DESCRIPTION:Title: “R Shiny app for the beginners” \nSpeaker: Nabil Awan\, Assistant Professor (on leave)\, ISRT\, DU and PhD candidate at the Deltin 7 Aviator গেম টাকা ইনকাম of Pittsburgh\, USA. \nDate & Time: Sunday\, July 26\, at 7.30PM \n  \nSuumary: R Shiny app is getting increasingly popular in both industry and academia. One reason is the automation that many companies are focusing on nowadays. Almost all grants in academia have a ‘technology component’ these days that often requires creating an interactive dashboard. There are competitors like Power BI\, Tableau dashboard\, etc. but those can also be integrated with R. Moreover\, using R allows a range of statistical methods that are not readily available in other software. While there are so many free materials available online to learn the R Shiny app\, some of us might have never gotten the time and opportunity to learn it. This session will take a hands-on DIY approach and help the participants create and host their first simple R Shiny app on the spot. We will emphasize explaining the ‘structure’ of the app so that the participants are able to understand the more complex apps available online. This session will also direct the participants to resources where they can learn more.
URL:https://isrt.ac.bd/event/r-shiny-app-for-the-beginners/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200713T090000
DTEND;TZID=UTC:20200713T100000
DTSTAMP:20251025T181141
CREATED:20201030T063253Z
LAST-MODIFIED:20201030T063253Z
UID:4470-1594630800-1594634400@isrt.ac.bd
SUMMARY:A brief introduction to Transcriptomic data analysis
DESCRIPTION:Title: “A brief introduction to Transcriptomic data analysis” \nSpeaker: Dr. Tanbin Rahman\, Postdoctoral Fellow at the MD Anderson Cancer Center\, USA. \nDate & time: Monday\, July 13\, 2020 at 9.00AM \n———————————Summary————————————————————- \nThis presentation will briefly discuss the different types of transcriptomic datasets in the field of statistical genomics. At first\, the structure of the datasets will be discussed. The preprocessing of the datasets followed by Differential Expression (DE) analysis and pathway analysis aimed at identifying the candidate genes and functional annotation of the candidate gene sets respectively\, will be discussed. Finally\, the application of supervised/unsupervised machine learning algorithms in genomic studies will be explored.
URL:https://isrt.ac.bd/event/a-brief-introduction-to-transcriptomic-data-analysis/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200630T110000
DTEND;TZID=UTC:20200630T120000
DTSTAMP:20251025T181141
CREATED:20201030T063146Z
LAST-MODIFIED:20201030T063146Z
UID:4468-1593514800-1593518400@isrt.ac.bd
SUMMARY:Academic Writing Skills: Useful Tips for Beginners
DESCRIPTION:Title: ‘Academic Writing Skills: Useful Tips for Beginners’\, \nSpeaker: Prof. Tamanna Howlader\, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \n  \nDate & time: Tuesday\, June 30\, 2020 at 11.30AM.
URL:https://isrt.ac.bd/event/academic-writing-skills-useful-tips-for-beginners/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200628T090000
DTEND;TZID=UTC:20200628T100000
DTSTAMP:20251025T181141
CREATED:20201030T062927Z
LAST-MODIFIED:20201030T062927Z
UID:4464-1593334800-1593338400@isrt.ac.bd
SUMMARY:Introduction to Deep Neural Network using R
DESCRIPTION:Title: “Introduction to Deep Neural Network using R” \n  \nSpeaker: Tuhin Sheikh\, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nand PhD candidate at the Deltin 7 Aviator গেম টাকা ইনকাম of Connecticut\, USA\, \n  \nDate and Time: Sunday\, June 28\, 2020 at 9.00AM \n  \n—————————–Summary———————————————— \nThe deep neural network (DNN) modelling has been considered to be a thriving topic in recent years. The DNN can be considered as a generalization of traditional regression analysis. Considering a particular objective of predicting output\, traditional regression analysis extracts low level features based on the observed input covariates. However\, when we deal with high dimensional data and a numerous input features\, low level feature extraction often leads to low prediction accuracy. The DNN on the other hand\, has been found to effective in extracting high level feature with promising prediction accuracy. In DNN\, we assume that similar to the neural system\, the input covariates go through different neurons at different layers until it reaches the final output layer. The higher the number of middle layers\, the deeper the network is. If there is no (hidden) layers in the middle\, it generalizes to only input and output layer as in traditional regression. Like regression\, DNN requires a loss function and criterion for minimization. The key difference would be\, extraction of hidden features and connecting those to the final output prediction. \nDue to the advancement of computer algorithms and emergence of interesting data\, this research field has been found to interesting in present times. Many big companies (e.g. Google\, Facebook\, Boehringer Ingelheim\, etc.) have been practicing deep neural network modelling due to the satisfactory performance. In the past\, mostly computer scientists and engineers contributed in this field. However\, the attractive mathematical foundation behind this interesting methodology got the attention of the Statisticians recently. As Statisticians\, there are huge scopes to contribute to this emerging field through statistical innovation. In this session\, the audience can expect the discussion on background and basic mathematical foundation of DNN. Also\, I will introduce an R package “Keras”\, which can be used to work with deep neural network. At the end of the discussion on this interesting topic\, I will spend some time discussing higher study experience in USA.
URL:https://isrt.ac.bd/event/introduction-to-deep-neural-network-using-r/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200624T150000
DTEND;TZID=UTC:20200624T170000
DTSTAMP:20251025T181141
CREATED:20201030T063035Z
LAST-MODIFIED:20201030T063035Z
UID:4466-1593010800-1593018000@isrt.ac.bd
SUMMARY:Sample Size Determination for Survey Research
DESCRIPTION:Title: “Sample Size Determination for Survey Research” \nSpeaker: Prof. Muhammad Shuaib\, ISRT\,  Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nDate & time: Wednesday\, June 24\, 2020\, at 3.15 PM.
URL:https://isrt.ac.bd/event/sample-size-determination-for-survey-research/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200622T110000
DTEND;TZID=UTC:20200622T130000
DTSTAMP:20251025T181141
CREATED:20201030T062800Z
LAST-MODIFIED:20201030T062808Z
UID:4462-1592823600-1592830800@isrt.ac.bd
SUMMARY:Academic Writing
DESCRIPTION:Title: “Academic Writing” \nSpeaker: Professor Syed Shahadat Hossain \, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nDate and Time: Monday\, June 22\, 2020 at 11.00AM.
URL:https://isrt.ac.bd/event/academic-writing/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200617T110000
DTEND;TZID=UTC:20200617T130000
DTSTAMP:20251025T181141
CREATED:20201030T062612Z
LAST-MODIFIED:20201030T062612Z
UID:4458-1592391600-1592398800@isrt.ac.bd
SUMMARY:Visualizing world-wide Covid-19 data using R\, especially ggplot2
DESCRIPTION:Title:  “Visualizing world-wide Covid-19 data using R\, especially ggplot2” \n  \nSpeaker: Professor Mahbub Latif \, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nDate &Time: Wednesday\, June 17\, 2020 at 11.00 AM.
URL:https://isrt.ac.bd/event/visualizing-world-wide-covid-19-data-using-r-especially-ggplot2/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200213T093000
DTEND;TZID=UTC:20200213T130000
DTSTAMP:20251025T181141
CREATED:20200210T064733Z
LAST-MODIFIED:20200210T064733Z
UID:4155-1581586200-1581598800@isrt.ac.bd
SUMMARY:Photography exhibition and competition on 13 February 2020 (Thursday)
DESCRIPTION:ISRT Student Club is organizing a Photography Competition and Exhibition on the theme ‘Exploring Bangladesh’. Both the students and faculty members of ISRT can take part in the exhibition.  \nTime and Venue: 9:30 am\, ISRT premise
URL:https://isrt.ac.bd/event/photography-exhibition-and-competition-on-13-february-2020-thursday/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200211T140000
DTEND;TZID=UTC:20200211T170000
DTSTAMP:20251025T181141
CREATED:20200210T064158Z
LAST-MODIFIED:20200210T064158Z
UID:4152-1581429600-1581440400@isrt.ac.bd
SUMMARY:Public Speaking Competition for students on 11 February 2020 (Tuesday)
DESCRIPTION:Public Speaking Competition \nTime and venue: 2:00 pm\, ISRT Seminar Room \nOrganized by ISRT student club
URL:https://isrt.ac.bd/event/public-speaking-competition-for-students-on-11-february-2020-tuesday/
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200203T113000
DTEND;TZID=UTC:20200203T130000
DTSTAMP:20251025T181141
CREATED:20200130T022629Z
LAST-MODIFIED:20200130T024252Z
UID:4138-1580729400-1580734800@isrt.ac.bd
SUMMARY:Big Data Analytics: Wisdom or Folly!
DESCRIPTION:Title: Big Data Analytics: Wisdom or Folly! \n\nTime and venue: 11:30 am on 3rd of February (Monday) 2020 in ISRT Seminar Room\n\nSpeaker: Ejaz Ahmed\, PhD Professor at Brock Deltin 7 Aviator গেম টাকা ইনকাম\, Canada\n\nAbstract:\n\nThere are hosts of buzzwords in today’s data-centric world\, and especially in digital and print media. We encounter data in every walks of life\, and for analytically and objectively-minded people\, data is everything. However\, making sense of the data and extracting meaningful information from it may not be an easy task. We come across buzzwords such as big data\, high dimensional data\, data science\, and open data without a proper definition of such words. The rapid growth in the size and scope of data sets in a host of disciplines has created a need for innovative statistical strategies analyzing such data. For example\, many private and public agencies are using sophisticated data mining strategies and/or big data analytics to reveal patterns based on collected information. Some examples of big data that have prompted demand are digital marketing\, customer service standards\, gene expression arrays\, social network modeling\, clinical\, genetics and phenotypic data. \nThe need for novel statistical strategies to analyze such data sets is pressing. This talk focuses on the development of statistical and computational strategies for a sparse regression model in the presence of mixed signals. The existing estimation methods have often ignored contributions from weak signals. However\, in real scenario many predictors altogether provide useful information for prediction\, although the amount of such useful information in a single predictor might be modest. The search for such signals\, sometimes called networks or pathways\, is for instance an important topic for those working on personalized medicine. We discuss a new “post selection shrinkage estimation strategy” that takes into account the joint impact of both strong and weak signals to improve the prediction accuracy and opens pathways for further research in such scenarios.
URL:https://isrt.ac.bd/event/big-data-analytics-wisdom-or-folly/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200102T150000
DTEND;TZID=UTC:20200102T160000
DTSTAMP:20251025T181141
CREATED:20191230T084938Z
LAST-MODIFIED:20191230T090712Z
UID:3875-1577977200-1577980800@isrt.ac.bd
SUMMARY:Is Data Science the next step for the Statisticians?
DESCRIPTION:Data Science was hot a few years ago. It is no longer a hot topic. The tremendous growth in terms of using/adopting data science\, machine learning that the scientific community and the industry have observed over the past two years is noteworthy. Good thing is\, statisticians are gradually coming out of their cocoon to experience the new landscape. In this talk\, I will discuss why and how statisticians should take the next steps to learn machine learning before they (statisticians) potentially become obsolete in the industry.
URL:https://isrt.ac.bd/event/is-data-science-the-next-step-for-the-statisticians/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Deltin 7\, Please Select\, 1000\, Bangladesh
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20191227
DTEND;VALUE=DATE:20191230
DTSTAMP:20251025T181141
CREATED:20190929T034158Z
LAST-MODIFIED:20190929T034158Z
UID:3688-1577404800-1577663999@isrt.ac.bd
SUMMARY:2nd International Conference on Applied Statistics 2019 (ICAS2019)
DESCRIPTION:ISRT welcomes you to attend the Second International Conference on Applied Statistics (ICAS) 2019 with the theme Emerging Challenges in a Data-Centric World. The aim of this conference is to highlight the challenges and discuss the solutions to emerging statistical problems in the era of the data revolution. Researchers\, academicians\, and representatives from business\, industry\, government and non-governments organizations are invited to participate in the event. For abstract submission and other details please visit https://icas2019.isrt.ac.bd/
URL:https://isrt.ac.bd/event/2nd-international-conference-on-applied-statistics-2019-icas2019/
LOCATION:Nabab Nawab Ali Chowdhury Senate Bhaban\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Deltin 7\, Bangladesh\, 1000
CATEGORIES:conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20191217
DTEND;VALUE=DATE:20191220
DTSTAMP:20251025T181141
CREATED:20190413T135939Z
LAST-MODIFIED:20190813T104833Z
UID:3180-1576540800-1576799999@isrt.ac.bd
SUMMARY:International Workshop Sponsored by ISI and World Bank in December 2019
DESCRIPTION:International Workshop on Sampling Methodologies for Monitoring Sustainable Development Goal Indicators\, sponsored by the International Statistical Institute (ISI) and World Bank (WB)\, to be organized by the Institute of Statistical Research and Training (ISRT)\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7\, Bangladesh in December 17-19\, 2019. Main objectives are to understand key concepts of SDGs\, the targets and indicators\, gain familiarity with the indicator framework and Statistical Quality Assurance Framework (SQAF)\, understand the sampling designs commonly used to monitor SDG indicators and appreciate the role of surveys in measuring SDG indicators\, learn new technologies for survey data collection\, entry\, analysis and visualization and gain practical experience through presentations\, group work and case studies. Intended participants are the academicians\, scholars\, employees of national statistical offices as well as government and non-government organizations\, practitioners\, students and postgraduates of SAARC member countries. \nFor details visit https://www.isrt.ac.bd/workshop/
URL:https://isrt.ac.bd/event/international-workshop/
CATEGORIES:workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191203T140000
DTEND;TZID=UTC:20191203T153000
DTSTAMP:20251025T181141
CREATED:20191124T172807Z
LAST-MODIFIED:20191124T172807Z
UID:3762-1575381600-1575387000@isrt.ac.bd
SUMMARY:PhD seminar talk on Tuesday\, December 3\, 2019 at 2pm
DESCRIPTION:Title: Modified Inferential Methods on Restricted Parameters in Multivariate Regression Analysis: Applications in Socio-demographic Research\n\nSpeaker: Sheikh Mohammad Sayem\, PhD researcher at ISRT\, DU\n\nAbstract:\n\nEfficient and significant empirical estimate of the multivariate regression parameters will be helpful for the policymaker to make the right decisions about sophisticated interrelated issues in the dynamic world. Since the end of the twentieth century\, statisticians are going forward to develop unique working methodology for estimating and testing restricted parameters. This study reviews existing methods and suggests modified maximum likelihood estimator\, modified multivariate t statistic and modified joint confidence interval to get efficient estimates for linear restricted parameters of multivariate regression with continuous responses. A Monte Carlo experiment is conducted to examine relative performance of the modified methods. The proposed methodology has been also applied to detect the numerical nexus among socioeconomic determinants\, food expenditure and total monthly expenditure in “Haor” areas of Bangladesh. The study reveals that logarithm form of total monthly expenditure and food expenditure as multivariate continuous responses are significantly related to total operating land\, logarithm form of family size and total monthly income considering a restriction on the parameters at different level of significance. The modified methods are found to perform significantly better than the existing methods.
URL:https://isrt.ac.bd/event/phd-seminar-talk-on-tuesday-december-3-2019-at-2pm/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190924T180000
DTEND;TZID=UTC:20191031T210000
DTSTAMP:20251025T181141
CREATED:20190702T093036Z
LAST-MODIFIED:20190922T173931Z
UID:3532-1569348000-1572555600@isrt.ac.bd
SUMMARY:R training program starts on September 24\, 2019
DESCRIPTION:The upcoming R training program begins on September 24\, 2019. For further details (program schedule\, registration etc.) please click on the link https://www.isrt.ac.bd/training/r/.
URL:https://isrt.ac.bd/event/r-training-program-starts-on-september-24-2019/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190827T140000
DTEND;TZID=UTC:20190827T150000
DTSTAMP:20251025T181141
CREATED:20190813T103955Z
LAST-MODIFIED:20190813T104343Z
UID:3597-1566914400-1566918000@isrt.ac.bd
SUMMARY:PhD seminar talk on August 27 at 2pm
DESCRIPTION:Title: Improved Statistical Approach for Climate Projection over Bangladesh using Downscaling of Global Climate Model (GCM) Outputs\n\nSpeaker: Md. Bazlur Rashid\n\nAbstract:\nGlobal Climate Model (GCM) has evolved from the Atmospheric General Circulation Models\n(AGCMs) widely used for daily\, seasonal and long term weather prediction. The most widely\nrecognized application is the projection of future climate states under various scenarios of\nincreasing atmospheric elements. Over the last few decades\, GCMs have been developed to\nemulate the present climate system and to project future climate scenarios. Despite notable\ndevelopment\, GCMs do not provide perfect simulations of reality and cannot provide the details\non very small spatial scales due to incomplete scientific understanding and limitations of\navailable observations in our country. For bridging the gap between the scale of GCMs and\nrequired resolution for practical applications\, downscaling provides climate change information\nat a suitable spatial and temporal scale from the GCM data. No downscaling for Bangladesh of\ndetail temperature\, precipitation\, wind speed\, pressure and humidity has been undertaken.\nCurrent research in Bangladesh has not addressed thermal comfort under climate change. In\naddition\, current studies for Bangladesh do not look at seasonality clearly. Extreme events\n(rainfall and temperature)\, thermal comfort\, humidity and wind characteristics\, along with\nseasonality\, under future climate in Bangladesh represent a further research gap and opportunity\nfor this research. The main object of study will attempt to find and/or develop efficient statistical\nmethods/tools for climate projection. The specific objectives are (i) to identify suitable model\nwith bias corrections for climate projection using climate model outputs; (ii) to explore the\neffectiveness of the bias correction statistical downscaling method in addressing the model-\nrelated uncertainties involved in future climate predictions; (iii) to identify a suitable\ndownscaling approach for climate model data to allow daily/ monthly or seasonal meteorological\nclimate impact studies; (iv) to develop modify algorithms for quantifying the time-variant\nuncertainty associated with meteorological extreme weather systems and persistent events under\nfuture climate scenarios and (v) to cross check between available statistical downscaling\ntechniques for future climate projections and scenarios generation over Bangladesh. So\, GCM\ninformation can be enhanced for better representation of the conditions in specific places by\nusing historically observed local climate information from weather stations. Statistical\nDownscaling of climate model can include independent components of climatic signals like El\nNino-Southern Oscillations (ENSO)\, Indian Ocean Dipole (IOD) and Pacific Decadal\nOscillations (PDO) for a long-lead weather forecast. So\, this information can also be used to\nimprove the future climate projections to assess potential impacts and guide climate-smart\ndecisions about climate resilience in Bangladesh.
URL:https://isrt.ac.bd/event/3597/
LOCATION:isrt seminar room
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190730T140000
DTEND;TZID=UTC:20190730T150000
DTSTAMP:20251025T181141
CREATED:20190727T010829Z
LAST-MODIFIED:20190727T010829Z
UID:3560-1564495200-1564498800@isrt.ac.bd
SUMMARY:Seminar on Tuesday\, 30th July 2019 from 2:00-3:00 pm
DESCRIPTION:Title: Optimum designs for multiple objectives \nSpeaker: Mahbub Latif\, PhD \nProfessor\, ISRT \nDeltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 \nVenue: ISRT Seminar Room \nAbstract: \nTBA
URL:https://isrt.ac.bd/event/seminar-on-tuesday-30th-july-2019-from-200-300-pm/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190327T180000
DTEND;TZID=UTC:20190430T210000
DTSTAMP:20251025T181141
CREATED:20190206T123240Z
LAST-MODIFIED:20190206T123240Z
UID:3073-1553709600-1556658000@isrt.ac.bd
SUMMARY:SPSS and Stata training
DESCRIPTION:ISRT offers training programs on Applied Statistics using SPSS and Applied Statistics using Stata on a regular basis. These programs aim at training the participants a basic idea of statistics at the same time elaborating how to interpret the results obtained from SPSS/Stata output. New features of the program include exclusive classes to develop\, discuss and solve practical research problems using large-scale survey data\, and for group presentation of research findings by participants. \nUpcoming program will run during  March 27\, 2019 – April 30\, 2019. For details visit here.
URL:https://isrt.ac.bd/event/spss-and-stata-training/
CATEGORIES:training
END:VEVENT
END:VCALENDAR