Mathematics

Advanced Statistical Methods Novel Design and Analysis of Clinical Trials

edited by Shein-Chung Chow

submission deadline 10 Jan 2026 | Viewed by 94 | Submission Open

Keywords: adaptive design; real-world data/evidence (RWD/RWE); biomarker development; rare disease drug development; AI; machine learning; model-informed drug development (MIDD); biosimilar product development; benefit– risk assessment

(This special issue belongs to the Section D1: Probability and Statistics)

Statistics, Data Analytics, and Machine Learning in Manufacturing

edited by

Qing Li

submission deadline 10 Jan 2026 | Viewed by 60 | Submission Open

Keywords: process monitoring/prognosis; anomaly/defect detection; uncertainty quantification; system/process optimization; reliability analysis; statistics; machine learning/deep learning; data fusion; measurements; quality assurance; uncertainty propagation; digital twin; geometry compensation

(This special issue belongs to the Section D1: Probability and Statistics)

Statistics and Data Science

edited by

Michael Pokojovy

and Andrews T. Anum

submission deadline 20 Jan 2026 | 5 articles | Viewed by 7770 | Submission Open

Keywords: data science; big data analytics; advanced data analytics; computational statistics; robust inference; Bayesian inference; statistical learning; machine learning; deep learning; explainable AI; trustworthy AI; text mining; image mining; multimodal learning; supervised learning; unsupervised learning; reinforcement learning; transfer learning

(This special issue belongs to the Section D1: Probability and Statistics)

Computational Statistics, Data Analysis and Applications

edited by Shanshan Wang

submission deadline 31 Jan 2026 | 1 articles | Viewed by 2280 | Submission Open

Keywords: statistical models and algorithms; renewable estimation; data visualization; complex data analytics; machine learning; data analysis and applications; computational statistics; forecasting and time series analysis; censored data analysis and applications

(This special issue belongs to the Section D1: Probability and Statistics)

Statistical Theory and Application, 2nd Edition

edited by

Xuejun Wang

submission deadline 31 Jan 2026 | 4 articles | Viewed by 2185 | Submission Open

Keywords: regression analysis; nonparametric statistics; semiparametric statistics; multivariate analysis computational statistics; high-dimensional statistics; probability limit theorems

(This special issue belongs to the Section D1: Probability and Statistics)

Advances in Statistical Approaches with Applications for Multivariate Data Analysis

edited by Md Erfanul Hoque

submission deadline 10 Feb 2026 | Viewed by 224 | Submission Open

Keywords: multivariate data; biostatistical methods; time series analysis; dynamic data science; machine/statistical learning; computational statistics; bayesian analysis; longitudinal data analysis; image analysis; spatial/spatio temporal analysis

(This special issue belongs to the Section D1: Probability and Statistics)

Multivariate Statistical Inference and Applications

edited by

Michail Tsagris

submission deadline 10 Feb 2026 | Viewed by 78 | Submission Open

Keywords: multivariate analysis; non-linear relationships; computation-intensive methods

(This special issue belongs to the Section D1: Probability and Statistics)

Mathematical Modeling for Economics and Finance: Probability, Stochastic Processes, and Differential Equations

edited by

Xinwei Feng

and Panyu Wu

submission deadline 15 Feb 2026 | Viewed by 60 | Submission Open

Keywords: backward stochastic differential equations; nonlinear expectation; mean-field games; asset pricing models; risk management; portfolio optimization

(This special issue belongs to the Section D1: Probability and Statistics)

Machine Learning, Statistics and Big Data, 2nd Edition

edited by

Codruta Mare

submission deadline 20 Feb 2026 | Viewed by 305 | Submission Open

Keywords: statistics; econometrics; machine learning; big data; financial econometrics; spatial econometrics; spatial machine learning; sentiment analysis; FinTech; digital finance; artificial intelligence; supervised vs. unsupervised learning; forecasting methods; IoT; cloud; blockchain; architecture for big data; big data analytics; data mining; cyberspace

(This special issue belongs to the Section D1: Probability and Statistics)

Advances in Statistical Analysis for Health, Finance, Industry and Digital Economy

edited by Lei Qin

submission deadline 28 Feb 2026 | 6 articles | Viewed by 13925 | Submission Open

Keywords: application of data mining; machine learning and optimization; generative AI; artificial intelligence in healthcare; health economics; bioinformatics; digital driven diagnostics and prognostics; option pricing; market microstructure; cryptocurrency; blockchain; digital economy; data assets

(This special issue belongs to the Section D1: Probability and Statistics)

Applications of Time Series Analysis

edited by

Esam Mahdi

submission deadline 28 Feb 2026 | 3 articles | Viewed by 5762 | Submission Open

Keywords: time series models; ARMA model; ARCH model; leverage; long memory; nonlinear time series; forecasting methods; portmanteau tests; autocorrelation function; time-varying parameters; machine learning models; neural networks; temporal data mining; cryptocurrency analysis

(This special issue belongs to the Section D1: Probability and Statistics)

Advances in Statistics, Biostatistics and Medical Statistics

edited by Tiago Dias Domingues

submission deadline 28 Feb 2026 | 2 articles | Viewed by 2293 | Submission Open

Keywords: biostatistics; epidemiology; statistical methods applied to medicine; serological data analysis; statistical inference

(This special issue belongs to the Section D1: Probability and Statistics)

Advances in Statistical Modeling: Copulas, Large Sample Theory and Applications

edited by

Martial Longla

submission deadline 28 Feb 2026 | 1 articles | Viewed by 1766 | Submission Open

Keywords: copula theory; mixing structure; large sample theory; copula-based Markov chains; new estimation methods

(This special issue belongs to the Section D1: Probability and Statistics)

Spatial Statistics: Methods and Applications

edited by Hanchen Yu

submission deadline 28 Feb 2026 | 1 articles | Viewed by 1484 | Submission Open

Keywords: spatial statistics; spatial modeling; spatial analysis

(This special issue belongs to the Section D1: Probability and Statistics)

Nonparametric and Semiparametric Approaches in Statistical Inference and Data Science: Theory, Methods and Applications

edited by

Stefano Bonnini

submission deadline 28 Feb 2026 | 1 articles | Viewed by 1269 | Submission Open

Keywords: nonparametric statistics; semiparametric statistical methods; curve estimation; multivariate analysis; statistical algorithms and machine learning; resampling methods; distribution-free techniques

(This special issue belongs to the Section D1: Probability and Statistics)

Statistical Models and Their Applications

edited by

Priyantha Wijayatunga

submission deadline 28 Feb 2026 | Viewed by 114 | Submission Open

Keywords: causal inference; probabilistic; bayesian; prediction; classification and regression; statistical learning; temporal; survival

(This special issue belongs to the Section D1: Probability and Statistics)

Statistical Forecasting: Theories, Methods and Applications

edited by

S. Ejaz Ahmed

submission deadline 31 Mar 2026 | 5 articles | Viewed by 7466 | Submission Open

Keywords: statistical forecasting; predictive modeling; Bayesian statistics; distribution theory and its applications; risk forecasting; financial statistics

(This special issue belongs to the Section D1: Probability and Statistics)

Statistical Methods and Applications in Genetics and Genomics

edited by Zilin Li and Xihao Li

submission deadline 31 Mar 2026 | 2 articles | Viewed by 4739 | Submission Open

Keywords: statistical genetics and genomics; multi-omics; biostatistics; bioinformatics; computational biology

(This special issue belongs to the Section D1: Probability and Statistics)

Mathematical Modelling and Statistical Methods of Quality Engineering

edited by Changyun Lin

submission deadline 31 Mar 2026 | 2 articles | Viewed by 4697 | Submission Open

Keywords: machine learning; statistical process control; design of experiments; reliability analysis; data analysis; computer science

(This special issue belongs to the Section D1: Probability and Statistics)

Bayesian Statistics and Applications

edited by

Nilotpal Sanyal

and Mohamed Elkhouly

submission deadline 31 Mar 2026 | 1 articles | Viewed by 791 | Submission Open

Keywords: Bayesian methodological developments: advances in Bayesian computation; Bayesian model selection; and nonparametric Bayesian methods; Bayesian machine learning: Bayesian deep learning; probabilistic graphical models; and Bayesian optimization; Bayesian biostatistics and personalized medicine: Bayesian approaches in clinical trials; genetics studies; epidemiology; and personalized healthcare; Bayesian environmental and ecological modeling: applications in climate change modeling; natural resource management; and population dynamics; comprehensive reviews: we also welcome high-quality reviews that summarize key developments and future directions in Bayesian statistics and its applications

(This special issue belongs to the Section D1: Probability and Statistics)

Integration of Statistical Computing and Artificial Intelligence: Theoretical Methods and Empirical Application

edited by

Yuping Song

and

Hanchao Wang

submission deadline 31 Mar 2026 | 1 articles | Viewed by 365 | Submission Open

Keywords: statistical computing; artificial intelligence; Bayesian statistics; Monte Carlo; deep learning; neural network; regularization technique; model parameter tuning; feature selection; model selection; adaptive modeling; machine learning; financial risk prediction; price trend prediction; meteorological and climate modeling

(This special issue belongs to the Section D1: Probability and Statistics)

Advances in Time Series Forecasting with Applications

edited by Waddah Saeed and

Eufrásio De Andrade Lima Neto

submission deadline 31 Mar 2026 | Viewed by 188 | Submission Open

Keywords: time series forecasting; machine learning for forecasting; deep learning for forecasting; conformal prediction in forecasting; forecast explainability; data-driven forecasting; real-world forecasting applications; hybrid forecasting models

(This special issue belongs to the Section D1: Probability and Statistics)

Computational Statistics with Applications

edited by

Minwoo Kim

submission deadline 31 Mar 2026 | Viewed by 57 | Submission Open

Keywords: statistical algorithms; big data; optimization; bayesian computing; machine learning; artificial intelligence; Monte Carlo methods; computational statistics

(This special issue belongs to the Section D1: Probability and Statistics)

Statistical Analysis and Data Mining in Science and Engineering

edited by Syamala Krishnannair

submission deadline 31 Mar 2026 | Viewed by 34 | Submission Open

Keywords: process monitoring; applied statistics; multivariate analysis; machine learning; computational methods; time series analysis; data-driven decision making; pattern recognition; high-dimensional data; statistical learning; science and engineering applications; Bayesian inference; fault detection

(This special issue belongs to the Section D1: Probability and Statistics)

Computational Statistics and Data Analysis, 3rd Edition

edited by

Gaorong Li

submission deadline 31 Mar 2026 | Viewed by 30 | Submission Open

Keywords: bootstrapping; classification; data analytical strategies and methodologies applied in biostatistics; dimension reduction of high-dimensional data analysis; large-scale inference for Gaussian graphical models and covariance estimation; longitudinal/panel data analysis; massive networks; medical statistics; nonparametric and semiparametric models; optimal portfolio; robust statistics; statistical methodology and computing for data analysis; statistical methodology and computing for noise data; such as measurement error data; missing data etc.; sufficient dimension reduction methods in regression analysis variable/model selection for high-dimensional data

(This special issue belongs to the Section D1: Probability and Statistics)

Actuarial Statistical Modeling and Applications

edited by

Himchan Jeong

submission deadline 10 Apr 2026 | 3 articles | Viewed by 1820 | Submission Open

Keywords: predictive analytics; statistical learning; dependence modeling; quantitative risk management; actuarial pricing and reserving; risk classification; survival analysis; longitudinal data analysis; multivariate data analysis; portfolio optimization; extreme value theory; actuarial science; predictive modeling; actuarial statistics

(This special issue belongs to the Section D1: Probability and Statistics)

Reliability Analysis and Statistical Computing

edited by Yubin Tian, Wei Ning and Dianpeng Wang

submission deadline 10 Apr 2026 | 1 articles | Viewed by 1083 | Submission Open

Keywords: reliability analysis; reliability optimization; reliability estimation; failure modes and effects analysis (FMEA); accelerated degeneration test (ADT); accelerated life testing (ALT); statistical computing; data-driven statistical assessment

(This special issue belongs to the Section D1: Probability and Statistics)

Advances of Applied Probability and Statistics

edited by

Massimiliano Giacalone

and

Karina Gibert

submission deadline 30 Apr 2026 | 8 articles | Viewed by 13219 | Submission Open

Keywords: statistics; probability; machine learning; artificial intelligence; social sciences; biology; finance

(This special issue belongs to the Section D1: Probability and Statistics)

Statistical Monitoring and AI Models

edited by

Achraf Cohen

and

Yichuan Zhao

submission deadline 30 Apr 2026 | 2 articles | Viewed by 8040 | Submission Open

Keywords: AI models for monitoring systems; Statistical Evaluation of AI models; Monitoring of AI models; Trustworthy AI metrics; Statistical monitoring and AI applications

(This special issue belongs to the Section D1: Probability and Statistics)

Statistics: Theories and Applications

edited by

Jiancheng Jiang

, Shaoyu Li and

Niansheng Tang

submission deadline 30 Apr 2026 | 6 articles | Viewed by 3767 | Submission Open

Keywords: Bayesian statistics; distributed computing; variable selection; nonparametric smoothing; financial time series analysis; analysis of genetics data; high-dimensional data; AI-assisted model validation

(This special issue belongs to the Section D1: Probability and Statistics)

Statistics for High-Dimensional Data

edited by

Andreas Artemiou

submission deadline 30 Apr 2026 | 2 articles | Viewed by 3733 | Submission Open

Keywords: high dimension; large p small n; low sample high dimensional setting; dimension reduction; variable selection

(This special issue belongs to the Section D1: Probability and Statistics)

Sequential Sampling Methods for Statistical Inference

edited by Jun Hu and

Takeshi Emura

submission deadline 30 Apr 2026 | 4 articles | Viewed by 3418 | Submission Open

Keywords: sequential sampling methods; statistical inference; point estimation; interval estimation; hypothesis testing; change-point detection; multi-armed bandits

(This special issue belongs to the Section D1: Probability and Statistics)

Research Progress of Probability Statistics

edited by Wanyang Dai

submission deadline 30 Apr 2026 | 2 articles | Viewed by 2442 | Submission Open

Keywords: probability; statistics; stochastics

(This special issue belongs to the Section D1: Probability and Statistics)

Statistical Modeling and Analysis in Medical Research

edited by Lazarus K. Mramba and Qihui Yang

submission deadline 30 Apr 2026 | Viewed by 460 | Submission Open

Keywords: statistics; biostatistics; biometrics

(This special issue belongs to the Section D1: Probability and Statistics)

Advances in Statistical Methods and Machine Learning for Medical and Genetic Epidemiology

edited by

Ayse Ulgen

submission deadline 30 Apr 2026 | Viewed by 321 | Submission Open

Keywords: machine learning; artificial intelligence; genetic epidemiology; causal inference; predictive modeling; big-data analytics; biostatistics; precision medicine

(This special issue belongs to the Section D1: Probability and Statistics)

Advanced Statistical Applications for Practical Problems in Business

edited by

Mingfei Li

submission deadline 30 Apr 2026 | Viewed by 35 | Submission Open

Keywords: real-world problem solving; advanced statistical methods; innovative ideas; practical impact; management; marketing; healthcare; non-profit; public management

(This special issue belongs to the Section D1: Probability and Statistics)

Computational and Machine Learning Methods in Spatial Statistical Modeling

edited by

Mohammad Meysami

and Ali Lotfi

submission deadline 30 Apr 2026 | Viewed by 30 | Submission Open

Keywords: spatial statistical modeling; machine learning for spatial data; spatiotemporal analysis; Bayesian spatial models; deep learning for spatial prediction; Gaussian processes; kriging and geostatistical interpolation; spatial point pattern analysis; cluster detection; autoregressive models; data fusion from multiple spatial sources; spatial uncertainty quantification; applied geospatial data science

(This special issue belongs to the Section D1: Probability and Statistics)

Recent Advances in Stochastic Processes and Their Applications

edited by

Marcos Escobar-Anel

submission deadline 30 Apr 2026 | Viewed by 19 | Submission Open

Keywords: stochastic covariance; mathematical finance; mathematical insurance; continuous-time process; discrete-time process; financial portfolio management; fractional processes; exotic derivative pricing

(This special issue belongs to the Section D1: Probability and Statistics)

Advance in Bayesian Inference and High-Dimensional Data Analysis

edited by

Min Wang

and Liucang Wu

submission deadline 30 Apr 2026 | Viewed by 17 | Submission Open

Keywords: Bayesian inference; Bayesian computation; prior elicitation; Bayesian modeling; variable selection; Bayesian applications

(This special issue belongs to the Section D1: Probability and Statistics)

Theory and Applications of Probability Theory and Stochastic Analysis

edited by

Junping Li

submission deadline 30 Apr 2026 | Viewed by 5 | Submission Open

Keywords: probability theory; stochastic processes; statistical inference; high-dimensional data analysis; causal inference; Bayesian Methods; spatiotemporal modeling; uncertainty quantification; machine learning integration; interdisciplinary data science

(This special issue belongs to the Section D1: Probability and Statistics)

Advances in Statistical AI and Causal Inference

edited by

Huiming Zhang

and

Hengzheng Huang

submission deadline 20 May 2026 | 6 articles | Viewed by 7465 | Submission Open

Keywords: deep neural networks; causal inference; precision medicine; non-asymptotic theory; treatment effect; statistical machine learning

(This special issue belongs to the Section D1: Probability and Statistics)

Bayesian Learning and Its Advanced Applications

edited by Wei W. Xing and Shandian Zhe

submission deadline 25 May 2026 | 3 articles | Viewed by 2838 | Submission Open

Keywords: Bayesian learning; variational inference; Markov chain Monte Carlo (MCMC); Bayesian neural networks; probabilistic graphical models; Bayesian optimization; Bayesian nonparametrics; approximate Bayesian computation (ABC); Bayesian model selection; Bayesian reinforcement learning; uncertainty quantification; multi-fidelity modeling; physics-informed machine learning; spatial– temporal modeling; digital twins; Bayesian methods for design and optimization

(This special issue belongs to the Section D1: Probability and Statistics)

Methodology and Application in Computational Statistics and Data Science

edited by Wenbo Wu and

Chenlu Ke

submission deadline 31 May 2026 | 6 articles | Viewed by 4336 | Submission Open

Keywords: statistical computing; big data; high-dimensional statistics; dimension reduction; feature screening; variable selection; sampling; order statistics; missing data; causal inference

(This special issue belongs to the Section D1: Probability and Statistics)

Mathematical Statistics and Nonparametric Inference

edited by

Hamdy F.F. Mahmoud

,

Jiancheng Jiang

and

Stefano Bonnini

submission deadline 31 May 2026 | 2 articles | Viewed by 2008 | Submission Open

Keywords: nonparametric estimation; mathematical statistics; change-point detection; high-dimensional data; kernel methods; semiparametric models; density estimation; Bayesian nonparametrics; hypothesis testing; computational statistics; stochastic process; Bayesian probability; Bernoulli; Binomial distribution; Central limit; Chung– Erdős inequality; Circular Law; Branching Process; Conditional probability; convergence for sparse; Convergence in probability; Convergence of Probability; Convergence to the limit; Covariance matrix; Cumulative distribution function; diffusion process; uniform distribution; Distribution of Sum; limit of distribution; limit theorem; limits of random variables; Lindeberg's condition; Littlewood's law; markov process; Markovian process; Markov's inequality; Maximum likelihood; negative binomial distribution; nonparametric statistical; Pairwise independence; Paley– Zygmund inequality; Poisson distribution; Poisson limit distribution; Poisson process; Probability axioms; probability distribution; probability theory; Queueing theory; random matrices; random process; random variable; random walk

(This special issue belongs to the Section D1: Probability and Statistics)

Stochastic Processes: Theory, Simulation and Applications, 2nd Edition

edited by

Antonio Di Crescenzo

and

Virginia Giorno

submission deadline 31 May 2026 | Viewed by 313 | Submission Open

Keywords: birth– death processes; computational methods for stochastic models; diffusion processes; first-passage-time problems; Gauss– Markov processes; Markov chains; neuronal modeling; population dynamics; probability theory; queueing systems; random walks; simulation of stochastic processes; stochastic models in biology; stochastic processes and applications; finite-velocity random motions; reliability theory; risk theory; stochastic methods for machine learning; stochastic processes governed by fractional equations

(This special issue belongs to the Section D1: Probability and Statistics)

Information-Induced Geometries in Statistics, Data Analysis, and Applied Research

edited by

Josep Maria Oller

and David Bernal-Casas

submission deadline 20 Nov 2026 | Viewed by 85 | Submission Open

Keywords: information; positive-definite kernel; information geometry; intrinsic statistical data analysis; principle of minimum loss of Fisher information; variational principles; quantum mechanics; Bayes theorem

(This special issue belongs to the Section D1: Probability and Statistics)

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