Hybrid Conferencee

International Conference on Time Series Analysis and Probabilistic Forecasting (ICTSAPF - 26)

12th - 13th December 2026 | Birmingham, UK

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Birmingham. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Birmingham event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Birmingham conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Birmingham, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Birmingham."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICTSAPF aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Probability Theory,Statistics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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