Pre-Enrollment

22nd October 2026

Final Paper Submission

27th October 2026

Registration Deadline

6th November`2026

Conference Date

21st Nov - 22nd Nov 2026

Call for Papers

The International Conference on Bayesian Statistics and Decision Analysis invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Statistics,Data Science, the conference aims to bridge theoretical advancements with real-world applications.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Bayesian Methods In Decision Making
02
Applications Of Bayesian Statistics
03
Bayesian Inference For Big Data
04
Hierarchical Models In Bayesian Analysis
05
Bayesian Networks For Causal Inference
06
Bayesian Approaches To Machine Learning
07
Modeling Uncertainty With Bayesian Techniques
08
Bayesian Statistics In Healthcare Research
09
Bayesian Decision Theory Applications
10
Bayesian Methods In Environmental Statistics
11
Bayesian Modeling For Time Series Data
12
Nonparametric Bayesian Methods
13
Bayesian Analysis Of Complex Systems
14
Robust Bayesian Methods For Outliers
15
Bayesian Statistics In Social Sciences
16
Bayesian Optimization In Engineering
17
Bayesian Approaches To Experimental Design
18
Bayesian Methods For Financial Modeling
19
Computational Challenges In Bayesian Analysis
20
Bayesian Statistics In Public Policy
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review