Call For Papers

The ICBSCOM 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 Probability Theory, Statistics , encouraging applied research, case studies, and industry-driven innovations.

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

01
Bayesian methods in statistical analysis
02
Applications of Bayesian statistics
03
Bayesian inference in complex models
04
Hierarchical models in Bayesian analysis
05
Bayesian networks and their applications
06
Machine learning with Bayesian approaches
07
Bayesian methods in epidemiology
08
Applications in finance and risk assessment
09
Bayesian statistics in social sciences
10
Bayesian model averaging techniques
11
Computational methods in Bayesian statistics
12
Bayesian approaches to time series analysis
13
Applications in environmental modeling
14
Bayesian statistics in healthcare research
15
Bayesian methods for causal inference
16
Applications in marketing analytics
17
Bayesian optimization techniques
18
Bayesian statistics in education research
19
Applications in sports analytics
20
Bayesian methods in big data analysis

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.

Publication

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



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