Flex Conference (Physical / Digital)

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

Call for Paper

The ICTSASM 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 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 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

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 :24th March 2027

Paper Submission Deadline :29th March 2027

Last Date of Registration : 8th April 2027

Date of Conference : 23rd - 24th April 2027