International Conference on Statistical Science and Stochastic Modelling

Important dates

1. 3 Dec

   Abstract / full paper deadline

   In 18 days

2. 30 Dec

   Conference

   Tokyo, Japan

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

The key intention of ICSSSM is to provide opportunity for the global participants to share their ideas and experience in person with their peers expected to join from different parts on the world. In addition this gathering will help the delegates to establish research or business relations as well as to find international linkage for future collaborations in their career path. We hope that ICSSSM outcome will lead to significant contributions to the knowledge base in these up-to-date scientific fields in scope.

Topics and scope

• Bayesian Inference Methods
• Time Series Analysis
• Stochastic Process Applications
• Multivariate Data Modelling
• Nonparametric Statistics
• Statistical Machine Learning
• Survival Data Analysis
• Computational Probability Models
• Markov Chain Models
• Spatial Data Analytics
• Stochastic Optimization Techniques
• Statistical Risk Modelling
• Regression Model Innovations
• Big Data Statistics
• Random Field Modelling
• Network Data Analysis
• Monte Carlo Simulations
• Statistical Forecasting Models
• Extreme Value Theory
• High-Dimensional Statistics
• Reliability Data Modelling
• Stochastic Differential Equations
• Statistical Decision Theory
• Predictive Modelling Techniques
• Causal Inference Methods
• Statistical Signal Processing
• Hierarchical Bayesian Models
• Sequential Data Analysis
• Quantitative Risk Assessment
• Applied Probability Models

Call for papers

Abstracts are due by 3 December 2026. Submission details are on the official website.