International Conference on

Time Series Analysis and Probabilistic Forecasting (ICTSAPF-26)

26th – 27th Sep 2026 | Dublin, Ireland | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Time Series Analysis and Probabilistic Forecasting invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Probability Theory, Statistics encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Time series modeling techniques
02
Probabilistic forecasting methods
03
Statistical analysis of time series
04
Seasonal decomposition in forecasting
05
Machine learning for time series
06
Bayesian approaches to forecasting
07
Temporal data mining techniques
08
Longitudinal data analysis methods
09
Autoregressive integrated moving average
10
Forecasting with neural networks
11
Causal inference in time series
12
Real-time forecasting applications
13
Time series anomaly detection
14
Multivariate time series analysis
15
Time series in economics
16
Dynamic systems and forecasting
17
Forecasting in climate science
18
Time series and big data
19
Statistical software for time series
20
Emerging trends in time series analysis
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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