On-location / Digital Conference

International Conference on Advanced Topics in Statistical Modeling and Analysis (ICATSMA-27)

23rd - 24th Mar 2027,Cusco, Peru

In Association With:

Call for Paper


Important Dates


Early Bird Registration

21st Feb 2027

Paper Submission Deadline

26th February 2027

Registration Deadline

8th March 2027

Conference Date

23rd - 24th Mar 2027

Conference Updates:

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Cusco ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Cusco conference.
  • Peer Review Process:
    The peer review process will begin soon for Cusco conference.
  • Networking with Global Experts:
    Join global experts at our conference in Cusco.
  • 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 ICATSMA 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 Topics in Statistical Modeling and Analysis, encouraging applied research, case studies, and industry-driven innovations.

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

  • Recent advancements in statistical modeling
  • Bayesian methods in statistical analysis
  • Machine learning and statistical techniques
  • Time series analysis and forecasting
  • Statistical methods for big data
  • Applications of regression analysis
  • Multilevel modeling in research
  • Statistical challenges in health sciences
  • Robust statistical methods for outliers
  • Statistical modeling in social sciences
  • Causal inference and statistical methods
  • Statistical modeling of complex data
  • Innovations in predictive modeling
  • Statistical analysis of experimental data
  • Data visualization techniques in statistics
  • Ethics in statistical research
  • Statistical methods in environmental studies
  • Statistical learning theory applications
  • Bayesian networks in decision making
  • Statistical software and tools advancements

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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