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:
- Recent advancements in statistical modeling
- Bayesian methods in statistical analysis
- Machine learning and statistical techniques
- Time series analysis and forecasting
- Statistical methods for big data
- Applications of regression analysis
- Multilevel modeling in research
- Statistical challenges in health sciences
- Robust statistical methods for outliers
- Statistical modeling in social sciences
- Causal inference and statistical methods
- Statistical modeling of complex data
- Innovations in predictive modeling
- Statistical analysis of experimental data
- Data visualization techniques in statistics
- Ethics in statistical research
- Statistical methods in environmental studies
- Statistical learning theory applications
- Bayesian networks in decision making
- Statistical software and tools advancements
Peer Review & Quality
All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.
Registration
Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.
Publication
High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.