Registration summary
ConferenceICATSMA
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICATSMA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Innovations in Statistical Modeling +
This track focuses on the latest advancements in statistical modeling techniques, emphasizing novel approaches and methodologies. Researchers are encouraged to present their findings on innovative models that enhance data interpretation and decision-making.
02 Computational Statistics and Algorithms +
This session will explore the intersection of statistics and computational methods, highlighting algorithms that improve statistical analysis. Contributions that demonstrate efficient computational techniques for large datasets are particularly welcome.
03 Machine Learning in Statistical Analysis +
This track examines the integration of machine learning techniques within statistical frameworks. Participants are invited to discuss applications and theoretical advancements that bridge these two fields.
04 Predictive Analytics and Its Applications +
Focusing on predictive analytics, this session will cover methodologies that enhance forecasting accuracy across various domains. Papers that illustrate practical applications of predictive models in real-world scenarios are encouraged.
05 Data Science and Statistical Methods +
This track aims to highlight the role of statistical methods in the broader context of data science. Contributions that showcase the synergy between data science practices and statistical rigor are sought.
06 Probabilistic Models in Modern Research +
This session will delve into the development and application of probabilistic models in contemporary research. Submissions that address theoretical advancements or practical implementations are highly encouraged.
07 High-Dimensional Data Analysis +
This track focuses on the challenges and solutions associated with analyzing high-dimensional data. Researchers are invited to present methodologies that effectively handle the complexities of such datasets.
08 Multivariate Statistical Methods +
This session will explore multivariate statistical techniques and their applications across various fields. Papers that demonstrate innovative uses of multivariate analysis in real-world problems are welcome.
09 Statistical Inference and Decision Making +
This track examines the principles of statistical inference and their implications for decision-making processes. Contributions that provide insights into inference techniques and their practical applications are encouraged.
10 Bayesian Approaches in Statistics +
This session will focus on Bayesian statistical methods and their applications in various research areas. Participants are invited to discuss advancements in Bayesian inference and its relevance to contemporary statistical challenges.
11 Ethics and Transparency in Statistical Research +
This track addresses the ethical considerations and transparency issues in statistical research. Papers that explore best practices for ensuring integrity and reproducibility in statistical analysis are particularly welcome.
