Call For Papers

The ICATSMA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistics , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.



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