(ICASPDA - 26) | Hybrid Event
1st - 2nd October 2026 | Jakarta Raya, Indonesia

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International Conference on Applied Statistics, Probability, and Data Analytics
(ICASPDA - 26)

1st - 2nd October 2026 Jakarta Raya, Indonesia (Hybrid Event)

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Call for Paper

The ICASPDA 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 Applied Mathematics,Mathematical Modeling, 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:

  • Statistical methods in data analytics
  • Applications of probability theory in statistics
  • Data visualization techniques in analytics
  • Machine learning algorithms for data analysis
  • Statistical modeling of big data
  • Bayesian statistics and applications
  • Data mining techniques in applied statistics
  • Statistical quality control methods
  • Applications of time series analysis
  • Multivariate statistics in data analytics
  • Statistical inference and hypothesis testing
  • Applications of regression analysis
  • Statistical methods for experimental design
  • Data analytics in healthcare applications
  • Statistical modeling of social phenomena
  • Applications of nonparametric statistics
  • Statistical methods for survey data analysis
  • Predictive analytics in business intelligence
  • Statistical challenges in data science
  • Applications of statistical learning theory
Review & Publication

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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