Hybrid Conferencee

International Conference on Bayesian Statistics and Decision Analysis (ICBSDA - 26)

1st - 2nd July 2026 | Giza, Egypt
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Giza. 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 Giza 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 Giza conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Giza, 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 Giza."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICBSDA 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 Statistics,Data Science, 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 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