Hybrid Conference (In Person / Virtual)

International Conference on Bayesian Modeling and Inference in Statistics (ICBMIS - 27)
22nd - 23rd February 2027 , Melbourne, Australia
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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 Melbourne. 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 Melbourne conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Melbourne 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 ICBMIS 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 modeling techniques in statistics
02
Applications of Bayesian inference in research
03
Bayesian methods for hierarchical models
04
Statistical challenges in Bayesian analysis
05
Bayesian approaches to causal inference
06
Computational methods for Bayesian statistics
07
Bayesian statistics in clinical trials
08
Machine learning and Bayesian methods integration
09
Bayesian modeling of time series data
10
Statistical software for Bayesian analysis
11
Bayesian methods for missing data
12
Bayesian networks in statistical modeling
13
Applications of Bayesian methods in epidemiology
14
Bayesian approaches to meta-analysis
15
Statistical education in Bayesian statistics
16
Future trends in Bayesian research
17
Bayesian methods for spatial data analysis
18
Bayesian statistics in environmental studies
19
Ethics in Bayesian statistical research
20
Bayesian methods for decision making

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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