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Call For Papers

The ICHDPSM 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 Probability Theory, encouraging applied research, case studies, and industry-driven innovations.

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

  • High-dimensional statistical modeling techniques
  • Applications of high-dimensional probability
  • Statistical inference in high dimensions
  • Machine learning in high-dimensional data
  • High-dimensional data visualization methods
  • Regularization techniques in statistics
  • High-dimensional Bayesian methods
  • Statistical challenges in big data
  • Applications in genomics and proteomics
  • High-dimensional time series analysis
  • Data mining techniques for high dimensions
  • Statistical learning in high-dimensional spaces
  • Applications in image processing
  • High-dimensional hypothesis testing methods
  • Statistical methods for network data
  • High-dimensional regression techniques
  • Applications in finance and economics
  • Emerging trends in high-dimensional statistics
  • Ethical considerations in big data analysis
  • Future challenges in high-dimensional probability

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

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

Submit Your Paper Now Confirm Your Participation Today
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