Hybrid Conference (In Person / Virtual)

International Conference on Bayesian Probability and Inference Methods (ICBPIM - 27)
18th - 19th February 2027 , Dublin, Ireland
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Call For Papers

The ICBPIM provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Probability Theory, encouraging participation from emerging researchers and fostering academic growth.

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

01
Bayesian inference in complex models
02
Applications of Bayesian probability
03
Bayesian methods in machine learning
04
Hierarchical Bayesian modeling techniques
05
Bayesian networks in decision analysis
06
Bayesian approaches to causal inference
07
Probabilistic programming for Bayesian analysis
08
Bayesian methods in clinical research
09
Applications in environmental statistics
10
Bayesian optimization techniques
11
Bayesian methods for time series analysis
12
Statistical validation of Bayesian models
13
Bayesian methods in finance
14
Applications in social sciences
15
Bayesian approaches to big data
16
Ethics in Bayesian research
17
Emerging trends in Bayesian statistics
18
Bayesian methods for network analysis
19
Future directions in Bayesian inference
20
Case studies in Bayesian applications

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.