International Conference on Applied Time Series and Forecasting Methods
(ICATSFM - 26)

17th - 18th November 2026 San Francisco, USA (Hybrid Event)

Call for Paper

The ICATSFM 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,Data Science, 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:

  • Time series forecasting methods and applications
  • Statistical modeling of temporal data
  • Seasonal decomposition in time series analysis
  • ARIMA models for time series forecasting
  • Statistical methods for financial time series
  • Time series analysis in environmental studies
  • Machine learning techniques for time series
  • Statistical methods for anomaly detection in time series
  • Longitudinal data analysis techniques
  • Statistical software for time series analysis
  • Causal inference in time series data
  • Applications of time series in public health
  • Statistical challenges in high-frequency data
  • Time series regression modeling approaches
  • Forecasting with multivariate time series
  • Statistical methods for economic time series
  • Time series analysis in social sciences
  • Bayesian approaches to time series forecasting
  • Statistical techniques for real-time forecasting
  • Future directions in time series analysis
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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