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International Conference on Time Series Analysis and Stochastic Modeling - (ICTSASM-27)

21st - 22nd June 2027 , Budapest - Hungary

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Call For Papers

The (ICTSASM-27) 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 Probability Theory 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:

  • Time series forecasting techniques
  • Stochastic modeling of time-dependent data
  • Applications in financial time series analysis
  • Seasonal patterns in time series data
  • Statistical methods for time series analysis
  • ARIMA models and their applications
  • Longitudinal data analysis techniques
  • Nonlinear time series modeling approaches
  • Time series analysis in environmental studies
  • Machine learning for time series prediction
  • Causal inference in time series data
  • Time series analysis in healthcare
  • Multivariate time series modeling techniques
  • Applications in signal processing
  • Real-time analysis of streaming data
  • Time series anomaly detection methods
  • Bayesian approaches to time series
  • Time series analysis in social sciences
  • Forecasting with exogenous variables
  • Applications in supply chain management

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.

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