International Conference on Applied Statistics, Probability, and Data Analytics ICASPDA

Call For Papers

The ICASPDA 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 Applied Mathematics, Mathematical Modeling , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Statistical methods in data analytics

Applications of probability theory in statistics

Data visualization techniques in analytics

Machine learning algorithms for data analysis

Statistical modeling of big data

Bayesian statistics and applications

Data mining techniques in applied statistics

Statistical quality control methods

Applications of time series analysis

Multivariate statistics in data analytics

Statistical inference and hypothesis testing

Applications of regression analysis

Statistical methods for experimental design

Data analytics in healthcare applications

Statistical modeling of social phenomena

Applications of nonparametric statistics

Statistical methods for survey data analysis

Predictive analytics in business intelligence

Statistical challenges in data science

Applications of statistical learning theory

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