Hybrid Conference (In Person / Virtual)

International Conference on Bayesian Statistics and Decision Analysis (ICBSDA - 27)
23rd - 24th January 2027 , Manchester, UK
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Conference Notifications:

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

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Manchester. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Manchester conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Manchester and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICBSDA 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 Statistics, Data Science, 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 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

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.

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