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Session 1 (Lee, Jaeyong): Modern Bayesian Methods for Structured and High-Dimensional Models
Session 2 (Wang, Shijia): Bayesian Inference for Complex Structured Data
Session 3 (Song, Xinyuan): Bayesian Modeling of Heterogeneous Structures: from Mixtures to Metric Space Regression
Session 4 (Fan, Xiaodan): Bayesian Methods in Unconventional Areas
Session 5 (Fan, Xiaodan): Advanced Models with Grouping Learning for Omics Data
Session 6 (Li, Feng): Bayesian Methods for Complex Biomedical and Behavioral Data
Session 7 (Ma, Zhihua): Bayesian Methods for Complex Dynamics and Latent Structures: From Survival and Sequential Data to Educational Measurement
Session 8 (Shen, Weining): New Bayesian Approaches in Biomedical Studies
Session 9 (Li, Cheng): Monte Carlo, Diffusion, and Flow Methods for Bayesian Inference
Session 10 (Deng, Ke): Recent Advances in Bayesian Theory and Applications
Session 11 (Hu, Liangyuan): Bayesian Methods for Causal Inference with Complex Survival Data
Session 12 (Rong, Tang): Bayesian Inference and Mathematical Guarantees for Generative and Latent-Variable Models
Session 13 ( Zhao, Yichuan): Modern Bayesian Analysis and Its Novel Applications
Session 14 (Wang, Xia): Robust Bayesian and High-Dimensional Methods for Complex Biomedical and Observational Data
Session 15 (Kang, Jian): Scalable Bayesian Learning for High-Dimensional Structured Data
Session 16 (Ma, Li): Bayesian Learning and Computation for Complex Data and Sequential Decision-Making
Session 17 (Wang, Yuexi): Modern Bayesian Methods for Complex Data and Learning
Session 18 (Xu, Yanxun): Advances in Statistical Learning and Decision-Making for Complex Data
Session 19 (Li, Zehang): Bayesian Modeling for Complex Data
Session 20 (Zhao, Jiangyan): Scalable Bayesian and Statistical Learning for Complex Structured Data
Session 21 (Li, Meng): Structured Modeling and Shrinkage for Complex and Heterogeneous Data
Session 22 (Goh, Gyuhyeong): Recent developments in Bayesian inference for complex data models
Session 23 (Chen, Cathy): Bayesian Methods for Complex Data and Time Series Modeling
Session 24 (Yeongjin, Gwon): Bayesian Theory, Networks, and Privacy
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