Statistics & Probability (STP)

Section Information

Statistics and Probability focus on the theory and methods for modeling uncertainty, analyzing data, and drawing reliable conclusions. The field develops mathematical foundations and practical tools that support research, decision making, and risk assessment across science, engineering, medicine, economics, and social sciences.

Current research includes statistical inference, probability theory, stochastic processes, Bayesian analysis, high-dimensional data methods, and computational statistics. Advances in data science, machine learning, and large-scale data processing are expanding the role of statistical thinking in modern research and industry.

This section publishes theoretical developments, methodological studies, applied statistical analyses, computational research, and review articles related to probability models and statistical practice.

Scope

Probability Theory

• Random variables and distributions
• Limit theorems and asymptotic analysis
• Stochastic processes
• Measure-theoretic probability

Statistical Inference

• Estimation and hypothesis testing
• Confidence intervals and significance analysis
• Parametric and nonparametric methods
• Resampling and bootstrap techniques

Bayesian Statistics

• Bayesian modeling and inference
• Prior and posterior analysis
• Markov chain Monte Carlo methods
• Hierarchical models

Regression and Multivariate Analysis

• Linear and generalized linear models
• Time series analysis
• Principal component and factor analysis
• High-dimensional data modeling

Computational and Data-Driven Statistics

• Machine learning foundations
• Big data analytics
• Simulation and Monte Carlo methods
• Statistical software development

Applied Statistics

• Biostatistics and epidemiology
• Financial and actuarial statistics
• Industrial and quality control methods
• Environmental and spatial statistics

Statistical Theory and Foundations

• Decision theory
• Information theory in statistics
• Robust and adaptive methods
• Mathematical foundations of statistical models

Editorial Board

Click here to see the Section Editorial Board of “Statistics & Probability (STP)”.

Papers Published

Click here to see a list of 13 papers published in this section.