International Conference on Data-Driven Statistical Modeling and Analysis ICDDSMA

Call For Papers

The ICDDSMA 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:

Data-driven approaches in statistical modeling

Machine learning techniques for data analysis

Predictive modeling in various fields

Statistical challenges in data-driven analysis

Applications of data-driven methods in finance

Big data analytics and statistical modeling

Causal inference in data-driven research

Statistical software for data-driven analysis

Data mining techniques for statistical insights

Ethics in data-driven statistical research

Statistical modeling in healthcare data

Data-driven decision making in business

Time series forecasting using statistical models

Applications of AI in statistical analysis

Statistical power in data-driven studies

Meta-analysis of data-driven findings

Data visualization in statistical modeling

Collaborative approaches to data-driven research

Future trends in data-driven statistics

Integrating qualitative data in analysis

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.

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Publication

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

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Hybrid Event