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.

Seminar on Classification and Clustering for RNA-seq data with variable selection 

Speaker: Tanbin Rahman PhD, FDA, USA Title: Classification and Clustering for RNA-seq data with variable selection Abstract: Clustering and classification play an important role in identifying sub-types of complex diseases as well as building a predictive model in the field of medicine. In recent years, lowering of cost and high accuracy has made RNA-seq widely popular which

Applied Statistics Seminar on “Pairwise Accelerated Failure Time Models for Infectious Disease Transmission Within and Between Households”

isrt seminar room

Abstract: Pairwise survival analysis handles dependent happenings in infectious disease transmission data by analyzing failure times in ordered pairs of individuals. The contact interval in the pair ij is the time from the onset of infectiousness in i to infectious contact from i to j, where an infectious contact is sufficient to infect j if he