seminar
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
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)
Seminar on “Identification of delayed transfer of care (DTOC) patients at the time of admission and prediction of their length of stay in NHS hospitals”
Title: “Identification of delayed transfer of care (DTOC) patients at the time of admission and prediction of their length of stay in NHS hospitals” Summary: Delayed transfer of care (DTOC),
Seminar on “The Impact of Food Insecurity on Health Status, Suicidal Ideation and Quality of Life Among Adults Living in Poverty: A Study in Urban Slums of Bangladesh”
Title: The Impact of Food Insecurity on Health Status, Suicidal Ideation and Quality of Life Among Adults Living in Poverty: A Study in Urban Slums of Bangladesh Abstract: Food
ISRT Seminar Room (3rd floor) Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, Bangladesh
An "ISRT Applied Statistics Seminar" on October 25 (Tuesday) at 2:00 PM (Venue: ISRT Seminar Room). Mrs. Tasnim Ara will talk on "Explaining geo-spatial variation in mobile phone ownership among rural women of Bangladesh: A
ISRT Applied Statistics Seminar on November 1 (Tuesday) at 2:00PM on “Foundational Learning Skills of Children in Bangladesh: What We Learned from MICS”
ISRT Seminar Room (3rd floor) Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, BangladeshDr. Mohaimen Mansur will give a talk on "Foundational Learning Skills of Children in Bangladesh: What We Learned from MICS". Dr. Mansur is an Associate Professor at the Institute of Statistical Research and Training (ISRT),
Seminar on Subgroup Analysis with Differential Treatment Effects and Biomarker Identification at 2 pm on December 6, 2022
ISRT Seminar Room (3rd floor) Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, BangladeshTitle: Subgroup Analysis with Differential Treatment Effects and Biomarker Identification Abstract: In the process of drug development and regulatory decision making, it is important to characterize heterogeneity of subject response to
Seminar on “Anomaly Detection in Temporal Networks through Topological Features and Motifs with Application to Mobility Data” at 2 pm on December 20, 2022
ISRT Seminar Room (3rd floor) Institute of Statistical Research and Training, University of Dhaka, Dhaka, Please Select, BangladeshSpeaker: Dr. Asim Kumer Dey, Brac University Venue: ISRT seminar room Date and time: 2 pm on Tuesday, 20 December 2022 Title: Anomaly Detection in Temporal Networks through Topological Features and Motifs with Application to Mobility Data Abstract: This paper aims to shed light on the potential relations among various higher-order network topological features and meso-level functionality of temporal
Applied Statistics Seminar on Tuesday, 10 January 2023 at 2 PM.
The speaker will be Argho Sarkar, a Ph.D. candidate at the University of Maryland, USA. He will give a talk on "Deep Learning for Climate Change: Challenges, Progress, and Possibilities." Besides presenting
Applied Statistics Seminar on Tuesday (February 7, 2023) at 12 PM
Abstract: The exchangeability of units between treatment groups is a key and typically untestable assumption for evaluating causal intervention effects in observational studies. Standard methods assuming exchangeability can yield biased
