On-location / Digital Conference

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

04th - 05th May 2027,Lima, Peru

In Association With:

Call for Paper


Important Dates


Early Bird Registration

04th Apr 2027

Paper Submission Deadline

9th April 2027

Registration Deadline

19th April 2027

Conference Date

04th - 05th May 2027

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Lima ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Lima conference.
  • Peer Review Process:
    The peer review process will begin soon for Lima conference.
  • Networking with Global Experts:
    Join global experts at our conference in Lima.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICTSASM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Time Series Analysis and Stochastic Modeling, encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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