An Introduction to R Shiny Application
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
Seminar on Improved Statistical Approach for Climate Projection over Bangladesh using Downscaling of Global Climate Model Outputs
Online Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, BangladeshTitle: Improved Statistical Approach for Climate Projection over Bangladesh using Downscaling of Global Climate Model Outputs Speaker: Md. Bazlur Rashid Abstract: Bangladesh is facing from severe impacts of climate change because of its low-lying coastal areas, deforestation, and rapid human population growth, technological and industrial intervention. The climate change parameters namely, temperature, heavy rainfall, sea
Seminar on “What it means to be an Applied Statistician — an industry perspective”
Online Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, BangladeshAbstract: This 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
Online SPSS and STATA training programs to start from February 1, 2022
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/
Freshers’ Reception and Farewell Program
TSC , BangladeshISRT 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
ISRT Golden Jubilee Gold Medal Award Program 2021
ISRT Seminar Room (3rd floor) Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, BangladeshISRT is pleased to announce that the ISRT Golden Jubilee Gold Medal Award Program 2021 will be held on Thursday, May 26, 2022, at 11.00 am in the ISRT seminar room (Room 402, 4th Floor). This year the awardee is Awan Afiaz from the BS honors session 2019-2020 (Batch 23). Professor Dr. A. S. M. Maksud Kamal, Pro-Vice-Chancellor (Academic),
Seminar on Analytics in Action
ISRT Seminar Room (3rd floor) Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, BangladeshA seminar will be held at 2:30 pm, Tuesday, 31 May. Further details are as follows: Title: Analytics in Action Speaker: Syed Shakil Ahmed, Head of Segments, Business Intelligence, Commercial
Seminar on “A Generalized Variable Importance Metric to Identify Important Predictors from Black Box Machine Learning Methods”
ISRT Seminar Room (3rd floor) Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, BangladeshThere is a statistics seminar at 2:00 pm on Sunday, 31 July at ISRT. ISRT alumni member, Kaviul Anam Khan will talk with the title “A Generalized Variable Importance Metric to Identify
‘R for Data Analytics’ Training Program (in person) starts from 02 August 2022
After successfully conducting three training programs on R, ISRT is now organizing its fourth on-campus (in-person) R for Data Analytics program from August 02, 2022. The deadline has been extended to August 2, 2022. Details of the program are available on its webpage: https://www.isrt.ac.bd/training/r/
Seminar on “Constrained inference in mixed models for clustered data”
ISRT Seminar Room (3rd floor) Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, BangladeshTitle: Constrained inference in mixed models for clustered data Abstract: Mixed models are commonly used for analyzing clustered data, including longitudinal data and repeated measurements. Unrestricted full maximum likelihood (ML) methods have been extensively studied in the literature for analyzing generalized, linear, and mixed models. However, constraints or parameter orderings may occur in practice, and
