Pre-Enrollment

5th November 2026

Final Paper Submission

10th November 2026

Registration Deadline

20th November`2026

Conference Date

5th Dec - 6th Dec 2026

Call for Papers

The International Conference on Time Series Analysis and Probabilistic Forecasting invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Probability Theory,Statistics, the conference aims to bridge theoretical advancements with real-world applications.

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

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review