Pre-Enrollment

7th October 2026

Final Paper Submission

12th October 2026

Registration Deadline

22nd October`2026

Conference Date

6th Nov - 7th Nov 2026

Call for Papers

The International Conference on Probability Theory and Mathematical Statistics 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, 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
Recent Advancements In Probability Theory
02
Statistical Methods In Data Analysis
03
Applications Of Probability In Finance
04
Bayesian Approaches In Statistical Inference
05
Markov Chains And Their Applications
06
Limit Theorems In Probability Theory
07
Random Processes In Engineering
08
Statistical Modeling Of Complex Systems
09
Probabilistic Methods In Machine Learning
10
Stochastic Processes In Biological Systems
11
Applications Of Statistics In Social Sciences
12
Nonparametric Statistics And Applications
13
Statistical Quality Control Techniques
14
Time Series Analysis And Forecasting
15
Monte Carlo Methods In Statistics
16
Probability Theory In Risk Assessment
17
Statistical Education And Pedagogy
18
Ethics In Statistical Research
19
Data-driven Decision-making Processes
20
Innovations In Statistical Software Tools
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