Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Bayesian inference and its applications
- Decision analysis in uncertain environments
- Bayesian modeling for complex data
- Hierarchical Bayesian models and applications
- Bayesian methods in machine learning
- Applications of Bayesian statistics in healthcare
- Bayesian networks in decision making
- Robustness in Bayesian analysis
- Bayesian approaches to causal inference
- Statistical decision theory advancements
- Bayesian methods in environmental studies
- Applications of Bayesian statistics in finance
- Bayesian modeling for time series data
- Ethics in Bayesian statistical research
- Bayesian statistics in social sciences
- Recent developments in Bayesian computation
- Bayesian methods for experimental design
- Applications of Bayesian statistics in marketing
- Bayesian hierarchical modeling techniques
- Future directions in Bayesian research
All papers must be original and not previously published or submitted elsewhere.
