International Conference on Bayesian Modeling and Inference in Statistics ICBMIS

Call For Papers

The ICBMIS bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistics, Data Science , encouraging applied research, case studies, and industry-driven innovations.

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

Bayesian modeling techniques in statistics

Applications of Bayesian inference in research

Bayesian methods for hierarchical models

Statistical challenges in Bayesian analysis

Bayesian approaches to causal inference

Computational methods for Bayesian statistics

Bayesian statistics in clinical trials

Machine learning and Bayesian methods integration

Bayesian modeling of time series data

Statistical software for Bayesian analysis

Bayesian methods for missing data

Bayesian networks in statistical modeling

Applications of Bayesian methods in epidemiology

Bayesian approaches to meta-analysis

Statistical education in Bayesian statistics

Future trends in Bayesian research

Bayesian methods for spatial data analysis

Bayesian statistics in environmental studies

Ethics in Bayesian statistical research

Bayesian methods for decision making

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event