SNRI

(ICPASM - 27) | Hybrid Event
27th - 28th February 2027 | Sintra, Portugal

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International Conference on Predictive Analytics and Statistical Modeling
(ICPASM - 27)

27th - 28th February 2027 Sintra, Portugal (Hybrid Event)

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Call for Paper

The ICPASM 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 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:

  • Predictive analytics techniques and applications
  • Machine learning in predictive modeling
  • Statistical methods for forecasting
  • Applications of predictive analytics in business
  • Predictive modeling in healthcare
  • Ethics in predictive analytics research
  • Predictive analytics in social sciences
  • Time series forecasting methods
  • Predictive analytics for customer behavior
  • Statistical challenges in predictive modeling
  • Predictive analytics in finance and investment
  • Big data and predictive analytics integration
  • Applications of predictive modeling in marketing
  • Predictive analytics for risk assessment
  • Recent advancements in predictive analytics
  • Predictive modeling in sports analytics
  • Data visualization in predictive analytics
  • Predictive analytics for supply chain management
  • Future trends in predictive modeling
  • Statistical software for predictive analytics
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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