Flex Conference (Physical / Digital)

International Conference on Time Series Analysis and Probabilistic Forecasting (ICTSAPF - 27)

Call for Paper

The ICTSAPF provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Probability Theory, Statistics encouraging participation from emerging researchers and fostering academic growth.

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

  • Time series modeling techniques
  • Probabilistic forecasting methods
  • Statistical analysis of time series
  • Seasonal decomposition in forecasting
  • Machine learning for time series
  • Bayesian approaches to forecasting
  • Temporal data mining techniques
  • Longitudinal data analysis methods
  • Autoregressive integrated moving average
  • Forecasting with neural networks
  • Causal inference in time series
  • Real-time forecasting applications
  • Time series anomaly detection
  • Multivariate time series analysis
  • Time series in economics
  • Dynamic systems and forecasting
  • Forecasting in climate science
  • Time series and big data
  • Statistical software for time series
  • Emerging trends in time series analysis

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :28th March 2027

Paper Submission Deadline :2nd April 2027

Last Date of Registration : 12th April 2027

Date of Conference : 27th - 28th April 2027