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Call For Papers

The ICASMP 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,Statistics, encouraging applied research, case studies, and industry-driven innovations.

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

  • Advanced statistical techniques in probability
  • Applications of probability theory in finance
  • Statistical modeling of stochastic processes
  • Probabilistic methods in engineering applications
  • Bayesian vs frequentist approaches in statistics
  • Statistical inference in probability models
  • Nonparametric methods in probability theory
  • Multivariate probability distributions analysis
  • Simulation techniques in probability studies
  • Statistical challenges in probability research
  • Applications of probability in social sciences
  • Probabilistic modeling of real-world phenomena
  • Time series analysis in probability theory
  • Statistical software for advanced methods
  • Theoretical developments in probability theory
  • Probabilistic graphical models applications
  • Machine learning and probability theory
  • Future trends in statistical probability research
  • Collaborative research in probability theory
  • Ethical considerations in statistical modeling

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.