International Conference on Statistics, Econometrics and Mathematics (ICSEM-27)

This track focuses on the latest methodologies and applications in actuarial sciences, emphasizing risk assessment and management in insurance. Contributions exploring innovative models and statistical techniques for predicting insurance claims are particularly encouraged.

This session invites papers that apply Bayesian methods to econometric modeling, highlighting their advantages in inference and prediction. Topics may include prior selection, model comparison, and the integration of Bayesian techniques in real-world economic scenarios.

This track addresses the role of computational methods in statistical analysis, focusing on simulation techniques for complex data. Papers discussing advancements in algorithms and their applications in various fields are welcome.

This session explores the intersection of data mining techniques and economic data analysis, emphasizing the extraction of meaningful patterns and insights. Contributions that demonstrate the application of data mining in business and economic contexts are encouraged.

This track invites research on econometric models specifically tailored for financial data, including volatility modeling and risk assessment. Papers that provide empirical evidence and theoretical advancements in financial econometrics are highly sought after.

This session focuses on the application of game theory in economic decision-making processes, exploring both cooperative and non-cooperative strategies. Contributions that analyze strategic interactions in various economic environments are encouraged.

This track examines the development and application of macroeconometric models in understanding economic phenomena. Papers addressing methodological challenges and proposing innovative solutions in macroeconomic modeling are particularly welcome.

This session highlights the use of multivariate statistical methods in analyzing complex datasets across various disciplines. Contributions that showcase innovative applications and methodological advancements in multivariate analysis are encouraged.

This track focuses on optimization methods applied to business and economic problems, including resource allocation and decision-making processes. Papers that present new optimization algorithms or case studies demonstrating their effectiveness are welcome.

This session explores statistical methods for quality control and process improvement in various industries. Contributions that discuss innovative approaches to enhance quality and efficiency through statistical techniques are encouraged.

This track addresses the importance of sampling methods and survey design in economic research, focusing on techniques that ensure representative data collection. Papers that explore new methodologies or applications in survey research are particularly welcome.