About Conference > Program Schedule
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04 July 2025 (Day 1)
05 July 2025 (Day 2)
8:00
8:00 - 9:30
Registration
Registration
8:00 - 9:00
Registration
Registration
8:30
9:00
9:00 - 10:20
Invited
Invited Session 4
New development in Bayesian analysis and the applications
Advanced Bayesian Methods for Analyzing Complex Data
Advancements in Bayesian Modeling of Complex Data Patterns
Bayesian Learning With Latent Variables
9:30
9:30 - 10:00
Opening
Welcome and Opening Remarks
10:00
10:00 - 11:00
Keynote
Keynote 1
Speaker Ming-Hui Chen
10:30
10:30 - 11:30
Keynote
Keynote 2
Speaker Nial Friel
11:00
11:10 - 12:30
Invited
Invited Session 1
Advances in theory and computation methods for Bayesian inference
Advances in High-Dimensional Inference
Bayesian approaches for modeling tensors, distributions and clustering
Bayesian Inference in Modern Machine Learning
11:30
11:30 - 12:30
Poster
Student Poster & KNU G-Lamp Posters
12:00
12:30
12:30 - 14:00
Lunch
Lunch
12:30 - 14:00
Lunch
Lunch
13:00
13:30
14:00
14:00 - 15:20
Invited
Invited Session 2
Recent development in Bayesian methodology and computation
Advances in Likelihood-Free and High-Dimensional Bayesian Inference
Advanced Bayesian methods
14:00 - 15:20
Invited
Invited Session 5
Recent Developments in a Bayesian Framework
Advanced Bayesian methods for high-dimensional heterogeneous data
Contributed
Contributed Session
14:30
15:00
15:30
15:40 - 17:00
Invited
Invited Session 3
Bayesian Spatial Modeling, Variable Selection, and Applications
General Bayesian approaches and Bayesian predictive syntheses
Enhancing interpretability with Bayesian approaches: From methodological foundations to applications
15:40 - 17:00
Invited
Invited Session 6
Recent Advances in Bayesian Methods for Spatial Biomedical Data
Recent advances in Bayesian computational methods
Bayesian Methods for Translational Biomedical Research
16:00
16:30
17:00
17:00 - 17:30
Closing
Closing Remarks and Student Poster Winners
17:30
18:00
18:00 - 20:00
Reception
Welcoming Reception
18:00 - 20:00
Banquet
Banquet
18:30
19:00
19:30
20:00