seminar
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 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.
Special Applied Statistics Seminar on “Health Statistics in Bangladesh”
Prof. Dr. Syed Abdul Hamid (https://ihe.ac.bd/faculty/syedabdulhamid), Health Institute, Dhaka University, will give a talk on "Health Statistics in Bangladesh" at ISRT on February 27, 2023, from 1.30-2.30 pm. He is an expert on Health Statistics. This talk is being arranged on the eve of National Statistics Day to be celebrated country-wide on February 27, 2023.
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 roomAbstract: 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
Seminar on “Data Science Product Development In the (AWS) Cloud” at 2 pm on July 24, 2023
Speaker: Sheikh Samsuzzhan Alam, Senior Data Science Developer for Operation, Novartis Pharma, Czech Republic Venue: ISRT seminar room Date and time: 2 pm on Monday, 24 July 2023 Title: Data Science Product Development In the (AWS) Cloud Abstract: Customer-facing software products are complex in nature and usually developed by multiple teams of engineers. On the other hand, software products
Applied Statistics and Data Science Seminar on August 7 on “Testing linearity in rapid microbiological method validation”
Title: Testing linearity in rapid microbiological method validation Abstract: Testing the linearity of a measurement system (MS) is required during its validation. Guidelines clearly discuss the appropriate design and analysis in testing the linearity of an MS when the data is Gaussian distributed but not for count data. This talk addresses how linearity is tested and
Applied Statistics and Data Science Seminar on Monday, August 21, 2023
Title: Hierarchical structural component models for pathway analysis of longitudinal categorical phenotypes Presenter: Md. Kamruzzaman, PhD Associate Professor, Jagannath University, Email: kzaman1@isrt.ac.bd Abstract: Several statistical methods for pathway analysis have been developed to test the association between pathways and phenotypes of interest. Since pathways are highly correlated, a hierarchical structural component models (HisCoM) was developed
Applied Statistics and Data Science Seminar on Monday, September 18, 2023
Title: The Generalized Variable Importance Metric: A model agnostic method to identify predictor outcome relationship Presenter: Kaviul Anam khan PhD in Biostatistics candidate at the Dalla Lana School of Public Health, University of Toronto Assistant Professor, Department of Statistical Sciences, University of Toronto Abstract: The aim my research is to define importance of predictors