P.K. Sen Memorial Session

Abstract Number:

105 

Submission Type:

Invited Paper Session 

Participants:

Malay Ghosh (1), Malay Ghosh (1), Susan Murphy (2), Jian Jian Ren (3), George Luta (4), Michael Schell (5)

Institutions:

(1) University of Florida, N/A, (2) Harvard University, N/A, (3) University of Maryland, College Park, N/A, (4) Georgetown University, N/A, (5) Moffitt Cancer Center, N/A

Chair:

Malay Ghosh  
University of Florida

Session Organizer:

Malay Ghosh  
University of Florida

Speaker(s):

Susan Murphy  
Harvard University
Joan Jian-Jian Ren  
University of Maryland, College Park
Gheorghe Luta  
Georgetown University
Michael Schell  
Moffitt Cancer Center

Session Description:

The session will focus on contributions on modern day topics of inference by students and colleagues of the late Professor P.K. Sen. As one will find below, there is diversity and timeliness of the topics. Below are the speakers and their titles.
1. Susan Murphy: Replicability in Bandit and Reinforcement Learning Algorithms.
2. Jian Jian Ren: Empirical Likelihood MLE for Generalized Proportional Hazards Model with Right Censored Survival Time and Intensive Longitudinal Covariates.
3. George Luta: Maximum Agreement Linear Prediction via the Concordance Correlation Coefficient.
4. Michael Schell: Identification and Classification of Highly-Cite Statistical Papers.

Sponsors:

No Additional Sponsor 3
Memorial 1
Section on Nonparametric Statistics 2

Theme: Statistics, Data Science, and AI Enriching Society

Yes

Applied

Yes

Estimated Audience Size

Medium (80-150)

I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 3, 2025. The registration fee is nonrefundable.

I understand