Call for Papers

International Conference on Bayesian Statistics and Decision Analysis(ICBSDA-27) invites researchers, academicians, and professionals to submit original research, case studies, and review papers. Submissions may address a wide range of topics relevant to the conference themes, including but not limited to the following areas:

International Conference on Bayesian Statistics and Decision Analysis(ICBSDA-27) 诚邀研究人员、学者及专业人士提交原创论文、案例研究及综述文章。投稿内容涵盖多个研究领域，包括但不限于以下方向：

Bayesian methods in decision making

Applications of Bayesian statistics

Bayesian inference for big data

Hierarchical models in Bayesian analysis

Bayesian networks for causal inference

Bayesian approaches to machine learning

Modeling uncertainty with Bayesian techniques

Bayesian statistics in healthcare research

Bayesian decision theory applications

Bayesian methods in environmental statistics

Bayesian modeling for time series data

Nonparametric Bayesian methods

Bayesian analysis of complex systems

Robust Bayesian methods for outliers

Bayesian statistics in social sciences

Bayesian optimization in engineering

Bayesian approaches to experimental design

Bayesian methods for financial modeling

Computational challenges in Bayesian analysis

Bayesian statistics in public policy

All papers will undergo peer review, and accepted papers may be presented and considered for publication.

所有投稿将经过同行评审，录用论文可进行会议展示，并有机会发表。