BAYSM:O

You can join the BAYSM:O during the scheduled sessions below via the following Zoom link: https://yale-nus-edu-sg.zoom.us/my/baysmo

We are pleased to announce the Bayesian Young Statisticians Meeting: Online (BAYSM:O), a conference organized by the junior section (j-ISBA) of the International Society for Bayesian Analysis (ISBA), to be held online on November 17-18, 2020. This conference will provide a platform for the dissemination of excellent work by junior researchers in the field of Bayesian statistics, and allow them to interconnect with the Bayesian community.

See below for the conference schedule. This link contains a more detailed schedule. All sessions are scheduled for 75 minutes, each with three 20-minute talks followed by a brief discussion by a senior researcher as well as questions. No registration is required to attend the conference. The conference is conducted via Zoom at https://yale-nus-edu-sg.zoom.us/my/baysmo.

UTC (UK time) Europe (UTC+1) East Coast (UTC-5) West Coast (UTC-8) Session title
Tuesday, November 17
13.30-14.45 14.30-15.45 8.30-9.45 5.30-6.45 Bayes, Birds & Ballots
15.00-16.15 16.00-17.15 10.00-11.15 7.00-8.15 Advances in Bayesian Methods for Medical Data
16.15-16.20 17.15-17.20 10.15-10.20 8.15-8.20 j-ISBA Welcome Address
16.30-17.45 17.30-18.45 11.30-12.45 8.30-9.45 Discrete Bayesian Nonparametrics
18.30-19.45 19.30-20.45 13.30-14.45 10.30-11.45 Recent Developments in Asymptotic and Prior Impact
20.00-21.15 21.00-22.15 15.00-16.15 12.00-13.15 Networks
21.30-22.45 22.30-23.45 16.30-17.45 13.30-14.45 Novel Bayesian Models for Microbiome Data Analysis
Wednesday, November 18
9.00-10.15 10.00-11.15 4.00-5.15 1.00-2.15 Theory and Practice of Sequential Monte Carlo
13.30-14.45 14.30-15.45 8.30-9.45 5.30-6.45 Probabilistic Numerical Integration
15.00-16.15 16.00-17.15 10.00-11.15 7.00-8.15 Bayes Goes Big: Scalable and High-Dimensional Inference in Action
16.30-17.45 17.30-18.45 11.30-12.45 8.30-9.45 Advance in Bayesian Nonparametrics
18.30-19.45 19.30-20.45 13.30-14.45 10.30-11.45 Regression
20.00-21.15 21.00-22.15 15.00-16.15 12.00-13.15 Inference Methods