Flex Conference (Physical / Digital)

International Conference on Applied Multivariate Statistical Methods - (ICAMSM-26)

5th - 6th October 2026 , Geneva - Switzerland

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Call For Papers

The (ICAMSM-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Statistics are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • Applications of multivariate statistical methods
  • Dimension reduction techniques in analysis
  • Multivariate analysis in market research
  • Statistical challenges in multivariate data
  • Cluster analysis techniques and applications
  • Principal component analysis in practice
  • Multivariate regression modeling approaches
  • Statistical software for multivariate analysis
  • Canonical correlation analysis methods
  • Multivariate methods in biological research
  • Time series analysis of multivariate data
  • Ethics in multivariate statistical research
  • Multivariate analysis in social sciences
  • Statistical quality control in multivariate contexts
  • Applications of factor analysis techniques
  • Multivariate analysis in finance research
  • Bayesian methods for multivariate data
  • Statistical power in multivariate studies
  • Meta-analysis of multivariate findings
  • Future trends in multivariate statistics

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.