(08 Jul 2024–02 Aug 2024)
Organizing Committee
Co-chairs
- Maria de Iorio (National University of Singapore)
- Peter Mueller (University of Texas at Austin)
- Igor Pruenster (Università Bocconi )
Members
- Pierre Alquier (ESSEC Business School)
- Andrea Cremaschi (Agency for Science, Technology and Research)
- Yuan Ji (University of Chicago)
- Cheng Li (National University of Singapore)
- Long Nguyen (University of Michigan)
- David Nott (National University of Singapore)
- Wilem van den Boom (National University of Singapore)
Contact Information
General Enquiries: Ims-enquiry(AT)nus.edu.sg
Scientific Aspects Enquiries: pmueller(AT)math.utexas.edu
Overview
The program will explore new directions in nonparametric Bayesian (BNP) theory and applications, focusing on applications in biomedical research problems. Specific themes in theory are: (1) complex data structures, dependent BNP models and quantification of the induced dependence; (2) efficient and scalable computational algorithms for BNP implementation; (3) summarizing BNP inference as a decision problem. And in applications: (1) real world evidence in clinical studies; (2) single cell RNA-seq data; (3) spatial transcriptomics; (4) subgroup analysis; (5) microbiome data; (6) network- and tree-structured data.
Activities
| Date | Abstract | |
|---|---|---|
| Introductory lecture on Nonparametric Bayesian Data Analysis by Michele Guindani (UCLA) | 9 July 2024 (morning) | N/A |
| Opening workshop | 9–12 July 2024 | N/A |
| Tutorial on Foundations of nonparametric Bayesian inference by Steven McEachern (Ohio State University) & Long Nguyen (University of Michigan) | 16 and 17 July 2024 | N/A |
| Research seminars | 15 and 19 July 2024 | N/A |
| Tutorial on BNP in biomedical research by Yanxun Xu (Johns Hopkins University) and Yang Ni (Texas A&M University) | 23 and 25 July 2024 | N/A |
| Research seminars | 22, 24 and 26 July 2024 | N/A |
| Closing workshop and ISBA BNP networking meeting (TBC) | 30 July–2 August 2024 | N/A |
Venue
IMS Auditorium