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International Conference on Advanced Statistical Methods in Probability Theory (ICASMP-27)

12th - 13th Feb 2027,Moscow, Russia

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Call for Paper

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Important Dates


Early Bird Registration

13th Jan 2027

Paper Submission Deadline

18th January 2027

Registration Deadline

28th January 2027

Conference Date

12th - 13th Feb 2027

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Moscow ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Moscow conference.
  • Peer Review Process:
    The peer review process will begin soon for Moscow conference.
  • Networking with Global Experts:
    Join global experts at our conference in Moscow.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

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 Advanced Statistical Methods in 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:

  • 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

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

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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