Hybrid Conferencee

International Conference on Bayesian Statistics and Computational Methods (ICBSCOM - 26)

14th - 15th August 2026 | Budapest, Hungary
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Budapest. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Budapest event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Budapest conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Budapest, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Budapest."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICBSCOM 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 Probability Theory,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:

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