Call For Papers
The ICABSDA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Statistics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- 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
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.