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Hybrid Event

8th - 9th July 2026 | Winnipeg, Canada

International Conference on Advanced Topics in Statistical Modeling and Analysis (ICATSMA - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICATSMA) 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
Recent advancements in statistical modeling
02
Bayesian methods in statistical analysis
03
Machine learning and statistical techniques
04
Time series analysis and forecasting
05
Statistical methods for big data
06
Applications of regression analysis
07
Multilevel modeling in research
08
Statistical challenges in health sciences
09
Robust statistical methods for outliers
10
Statistical modeling in social sciences
11
Causal inference and statistical methods
12
Statistical modeling of complex data
13
Innovations in predictive modeling
14
Statistical analysis of experimental data
15
Data visualization techniques in statistics
16
Ethics in statistical research
17
Statistical methods in environmental studies
18
Statistical learning theory applications
19
Bayesian networks in decision making
20
Statistical software and tools advancements

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.

Submit Your Paper Today Register Early
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.