Probability and Statistics
A section of Mathematics (ISSN 2227-7390).
Section Information
The section Probability and Statistics of Mathematics publishes original contributions that cover recent advances and reviews in the theory and applications of probability and statistics.
We welcome papers dealing with all aspects of these disciplines, including the foundations of probability and statistics theory, probability theory on topological structures, combinatorial probability, stochastic geometry, distribution theory, limit theorems, stochastic processes, stochastic analysis, Markov processes, special processes, information-theoretic topics, decision theory, Bayesian problems, sampling theory, parametric and nonparametric inference, multivariate analysis, regression, sequential methods, inference from stochastic processes, survival analysis, data science, and big data.
Special attention will be given to the theory and application of probability in the modeling of random phenomena in the natural sciences, social sciences, and technology. The section is also dedicated to the dissemination of methodological research and statistical techniques based on mathematical theory, analytical, algorithmic, experimental approaches, and computational methods.
Applications of stochastic models and statistical methods to diverse areas such as biology, medicine, epidemiology, economics, computer science, telecommunications modeling, inventories, reliability, queueing theory, statistical physics, optimization, and operations research are very welcome as well.
Prof. Dr. Antonio Di Crescenzo
Section Editor-in-Chief
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- New Advances in Distribution Theory and Its Applications (Deadline: 20 October 2024)
- Advancements in Statistical Modeling: Innovations, Extensions, and Practical Applications (Deadline: 31 October 2024)
- Statistical Forecasting: Theories, Methods and Applications (Deadline: 31 October 2024)
- Statistical Methods and Applications in Social Networks (Deadline: 31 October 2024)
- Statistical Inference for High Dimensional Data (Deadline: 31 October 2024)
- Stochastic Programming: Theory, Methods, and Applications (Deadline: 31 October 2024)
- Significant Applications in Economics, Business, Management and Industrial Statistics (Deadline: 31 October 2024)
- Computational Statistics and Data Analysis, 2nd Edition (Deadline: 31 October 2024)
- Stochastic Processes and Their Applications: In Honor of Prof. Sally McClean (Deadline: 15 November 2024)
- New Advance of Statistical Analysis and Low Dimensional Topology (Deadline: 20 November 2024)
- New Advances in Statistics and Econometrics (Deadline: 20 November 2024)
- Advances in Data Analytics for Manufacturing Quality Assurance (Deadline: 30 November 2024)
- Statistical Process Control and Inference: Novelty, Controversies and New Direction (Deadline: 30 November 2024)
- Advances in Statistical Process Monitoring and Wavelet Analysis (Deadline: 30 November 2024)
- Latest Advances in Random Walks Dating Back to One Hundred Years (Deadline: 30 November 2024)
- Statistical Methods in Reproductive, Maternal, Newborn, Child and Adolescent Health Research (Deadline: 30 November 2024)
- Methods and Applications in Multivariate Statistics (Deadline: 30 November 2024)
- Advances in High-Dimensional Statistics (Deadline: 30 November 2024)
- Theory and Applications of Random Matrix (Deadline: 30 November 2024)
- Advances in Computational Statistics and Data Analysis (Deadline: 30 November 2024)
- Advanced Applications with Machine Learning Methods in Applied Statistics (Deadline: 1 December 2024)
- Statistical Analysis and Data Science for Complex Data (Deadline: 15 December 2024)
- Anticipating a Hundred Years of Modern Probability and Stochastic Processes (Deadline: 31 December 2024)
- Advances in High-Dimensional Data Analysis (Deadline: 31 December 2024)
- New Advances in High-Dimensional and Non-asymptotic Statistics (Deadline: 31 December 2024)
- Applied Probability, Statistics and Operational Research (Deadline: 31 December 2024)
- Advances in Mathematical Methods for Distributed Learning and High-Dimensional Data Analysis (Deadline: 31 December 2024)
- Mathematical Modelling and Statistical Methods of Quality Engineering (Deadline: 31 December 2024)
- Advances in Statistical AI and Casual Inference (Deadline: 31 December 2024)
- First SDE: New Advances in Stochastic Differential Equations (Deadline: 31 December 2024)
- New Developments in Causal Inference with Applications in Healthcare and Economics (Deadline: 31 December 2024)
- Statistical Methods in Bioinformatics and Health Informatics (Deadline: 31 December 2024)
- Statistics for Stochastic Processes (Deadline: 31 December 2024)
- Development of Novel Techniques and Original Applications in the Functional Data Analysis Framework (Deadline: 31 December 2024)
- Trends in Spatial Statistics and Spatial Econometrics (Deadline: 31 December 2024)
- Recent Advances in Statistical Analysis and Applications (Deadline: 31 December 2024)
- Multivariate Statistical Analysis and Application (Deadline: 31 December 2024)
- Applications and Analysis of Statistics and Data Science (Deadline: 31 December 2024)
- Applied Statistics in Management Sciences (Deadline: 31 December 2024)
- Statistical Methods for Forecasting and Risk Analysis (Deadline: 31 December 2024)
- Spatio-Temporal Statistics and Its Applications (Deadline: 31 December 2024)
- Stochastic Process Modeling in Biology: Transforming Understanding of Diverse Phenomena in Ecology and Biology (Deadline: 8 January 2025)
- Bayesian Inference: Algorithms and Challenges in Machine Learning (Deadline: 10 January 2025)
- Statistics and Mathematics in Economics and Finance: Theory, Methods and Applications (Deadline: 20 January 2025)
- New Developments in Statistical Design and Analysis of Clinical Trials (Deadline: 25 January 2025)
- Applications of Time Series Analysis (Deadline: 31 January 2025)
- Statistics: Theories and Applications (Deadline: 31 January 2025)
- Mathematical and Computational Statistics and Applications (Deadline: 31 January 2025)
- Statistical Simulation and Computation: 3rd Edition (Deadline: 31 January 2025)
- Statistics for High-Dimensional Data (Deadline: 31 January 2025)
- Application in Computational Statistics and Data Science (Deadline: 31 January 2025)
- Exploring the Intersection of Statistical Estimation Theory and Machine Learning (Deadline: 31 January 2025)
- Stability Problems for Stochastic Models: Analytics, Asymptotics, Estimation and Applications (Deadline: 10 February 2025)
- Advanced Statistical and Computational Techniques in Environment and Ecology Research, 2nd Edition (Deadline: 20 February 2025)
- Statistical Research on Missing Data and Applications (Deadline: 28 February 2025)
- Data-Driven Statistical Methods (Deadline: 28 February 2025)
- Advances in High-Dimensional Data Analysis and Applications (Deadline: 28 February 2025)
- Advances in Computational Statistics, Design of Experiments, and Its Applications (Deadline: 28 February 2025)
- Advances in Statistical Methods for Time Series Analysis (Deadline: 28 February 2025)
- Applied Probability and Statistical Inference in Reliability Engineering (Deadline: 28 February 2025)
- Recent Advances in Time Series Analysis (Deadline: 28 February 2025)
- Exploring Statistical Learning: Inference, Optimization, and Real-World Applications (Deadline: 28 February 2025)
- Recent Advances in Statistical Machine Learning (Deadline: 28 February 2025)
- Probabilistic Models in Insurance and Finance (Deadline: 28 February 2025)
- Application of Regression Models, Analysis and Bayesian Statistics (Deadline: 10 March 2025)
- Advances in Probability Theory and Stochastic Analysis (Deadline: 20 March 2025)
- Markov Chain Models and Applications: Latest Advances and Prospects (Deadline: 20 March 2025)
- Spatial Statistics Methods and Modeling (Deadline: 20 March 2025)
- Clustered Data Modeling and Statistical Meta-Analysis (Deadline: 31 March 2025)
- Bayesian Statistics and Causal Inference (Deadline: 31 March 2025)
- Stochastic Models with Applications, 2nd Edition (Deadline: 31 March 2025)
- Sequential Sampling Methods for Statistical Inference (Deadline: 31 March 2025)
- Parametric and Nonparametric Statistics: From Theory to Applications (Deadline: 31 March 2025)
- Extreme Values, Regular Variation and Empirical Processes (Deadline: 31 March 2025)
- High-Dimensional Data Analysis and Applications (Deadline: 31 March 2025)
- System Reliability and Quality Management in Industrial Engineering, 2nd Edition (Deadline: 31 March 2025)
- Advances in Queueing Theory and Applications (Deadline: 1 April 2025)
- Bayesian Networks: Parameter and Structure Learning with Their Real-World Applications for Decision Making (Deadline: 1 April 2025)
- Reliability Estimation and Mathematical Statistics (Deadline: 10 April 2025)
- Application of the Bayesian Method in Statistical Modeling, 2nd Edition (Deadline: 10 April 2025)
- Nonparametric and Semiparametric Approaches in Statistical Inference and Data Science: Theory, Methods and Applications (Deadline: 20 April 2025)
- Multivariate Data Analysis: Theory, Applications and Interpretation Issues (Deadline: 20 April 2025)
- Advances in Statistical Methods with Applications (Deadline: 30 April 2025)
- Current Developments in Theoretical and Applied Statistics (Deadline: 30 April 2025)
- Current Progress in Biostatistics and Its Applications in Public Health (Deadline: 30 April 2025)
- Statistics and Nonlinear Analysis: Simulation and Computation (Deadline: 10 May 2025)
- Advances in Biostatistics and Applications (Deadline: 20 May 2025)
- Applied Statistics in Real-World Problems (Deadline: 20 May 2025)
- Statistics and Data Science (Deadline: 26 May 2025)
- Computational Statistics, Data Analysis and Applications (Deadline: 31 May 2025)
- Stochastic Processes and Partial Differential Equations in Industry (Deadline: 31 May 2025)
- Healthcare Data Analytics Using AI (Deadline: 31 May 2025)
- Machine Learning, Statistics and Big Data, 2nd Edition (Deadline: 31 May 2025)
- Stochastic Processes and Its Applications (Deadline: 31 May 2025)
- Methodology and Application in Computational Statistics and Data Science (Deadline: 31 May 2025)
- Contemporary Bayesian Analysis: Methods and Applications (Deadline: 31 May 2025)
- Advances of Applied Probability and Statistics (Deadline: 31 May 2025)
- Bayesian Statistical Analysis of Big Data and Complex Data (Deadline: 10 June 2025)
- High-Dimensional Statistics and Network Data Analysis (Deadline: 20 June 2025)
- Advances in Statistics, Biostatistics and Medical Statistics (Deadline: 20 June 2025)
- Bayesian Learning and Its Advanced Applications (Deadline: 25 June 2025)
- Statistical Methods and Applications in Genetics and Genomics (Deadline: 30 June 2025)
- Advances in Statistical Analysis for Health, Finance, Industry and Digital Economy (Deadline: 1 July 2025)
- Gaussian Process and Machine Learning (Deadline: 31 July 2025)
- Applied Stochastic Solutions, Dynamic Analysis, and Mathematical Models for Issues in Demography, Epidemiology, and Environmetrics (Deadline: 31 July 2025)
- Biostatistics and Stochastic Process Analysis (Deadline: 31 July 2025)
- Statistical Modeling and Analysis in Medical Research (Deadline: 31 July 2025)
- Recent Advances in Time Series Analysis: Methods, Theory, and Applications (Deadline: 31 August 2025)
- Statistical Data Modeling and Machine Learning with Applications, 3rd Edition (Deadline: 15 December 2025)