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Hybrid Event

6th - 7th July 2026 | Napier, New Zealand

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

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICABSDA) 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, 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 inference and its applications
02
Decision analysis in uncertain environments
03
Bayesian modeling for complex data
04
Hierarchical Bayesian models and applications
05
Bayesian methods in machine learning
06
Applications of Bayesian statistics in healthcare
07
Bayesian networks in decision making
08
Robustness in Bayesian analysis
09
Bayesian approaches to causal inference
10
Statistical decision theory advancements
11
Bayesian methods in environmental studies
12
Applications of Bayesian statistics in finance
13
Bayesian modeling for time series data
14
Ethics in Bayesian statistical research
15
Bayesian statistics in social sciences
16
Recent developments in Bayesian computation
17
Bayesian methods for experimental design
18
Applications of Bayesian statistics in marketing
19
Bayesian hierarchical modeling techniques
20
Future directions in Bayesian research

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.