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, Bangladesh

Speaker: 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

Fresher Reception and Farewell on December 28, 2022

The freshers' Reception (28th batch) and Farewell (23rd batch) program will be held on Wednesday, Dec 28, 2022, at 10.00 am at the TSC auditorium. Honorable Pro-Vice Chancellor (Academic) Prof. Dr. A. S. M. Maksud Kamal has given kind consent to join us as chief guest, and the special guest of the event is Prof. Dr.

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 his research, Argho will also talk about his experiences as a graduate student at the University of Maryland. The seminar will take place in the

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 treatment effect estimates if the assumption does not hold. Existing methods evaluate the sensitivity of treatment effect estimates to non-exchangeability due to unmeasured confounders only.

ISRT Alumni (ISRTAA) Reunion 2023 is on 18 February, 2023

ISRT Alumni (ISRTAA) Reunion 2023 will occur on February 18, 2023, on ISRT premises. All graduates are encouraged to attend the event. Details of the reunion event can be found on the website https://isrtalumni.org/reunion2023 and the reunion registration site (http://isrtalumni.org/reunion2023/reunion-2023-registration).