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Hybrid Event

13th - 14th July 2026 | Salzburg, Austria

International Conference on Bayesian Modeling and Inference in Statistics (ICBMIS - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICBMIS) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Statistics,Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.