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Call For Paper

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Call For Papers

The ICASMP is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit.

Focusing on Probability Theory, Statistics, the conference promotes research aligned with global development goals and long-term sustainability.

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

Assessment

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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