RASHMI RANJAN BHUYAN's presentation “An MCEM algorithm for consistent estimation in Network-linked high-dimensional multinomial Probit,” with GOURAB MUKHERJEE was awarded first prize at the 2023 Graduate Student Research Conference at National Institute of Statistical Sciences. This paper was also awarded second prize at the student poster competition in the 2023 Workshop of Statistical Network Analysis and Beyond (SNAB 2023).
RASHMI RANJAN BHUYAN's working paper “Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model,” joint with ADEL JAVANMARD and GOURAB MUKHERJEE, earned a travel award for the poster session presentation at the 2023 International Indian Statistical Association's annual conference.
ANDREW DAW has research forthcoming in Management Science that proposes a bivariate, marked Hawkes process cluster model of the customer-agent interaction in support contact centers.
CHAMSI HSSAINE and Daniel Freund has a paper accepted by Conference on Web and InterNet Economics, “Fair Incentives for Repeated Engagement.”
LORENA MARTIN was invited to be on the National Institute of Health (NIH) / National Institute on Aging Data and Safety Monitoring Board (DSMB) for the NIH R01 funded grant on the Personalized OSA Treatment and Effects on AD Biomarkers and Cognition.
GOURAB MUKHERJEE organized and chaired an invited panel session, “New and Evolving Roles of Business Statistics in the Big Data Era,” at the Joint Statistical Meetings in Toronto.
GOURAB MUKHERJEE, RASHMI RANJAN BHUYAN, and SHANTANU DUTTA (Marketing) had their paper, “A Crossed Random Effects Joint Modeling Framework for Improved Prediction of Player Responses in Massively Multiplayer Online Role Playing Games,” published in Annals of Applied Statistics.
MATTEO SESIA has a paper accepted by Conference on Neural Information Processing Systems, “Derandomized Novelty Detection with FDR Control via Conformal E-values.”
DENNIS SHEN, along with co-authors, has a paper accepted by Econometrica titled “Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data” that evaluates the causal effect of a treatment through panel data analysis.
KATHY TAKAYAMA recently moderated the “Women in Business” panel at the Women Veterans Alliance Unconference in Las Vegas.
ANGELA ZHOU's paper, “Optimal and Fair Encouragement Policy Evaluation and Learning,” was accepted by Conference on Neural Information Processing Systems.
ANGELA ZHOU received funding by Microsoft Research's Accelerate Foundation Models Research Initiative for her research proposal, “Democratizing Robust Data Analysis for Causal Inference with LLM-Based Interactive Optimization.”