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2018 - 2026

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Volume 9, issue 4, 2026

Modeling Exposure Mixtures and Spatiotemporal Dependence in Count Data Using Bayesian Kernel Machine Regression pp. 1-12

Ning Sun, Zoran Bursac and Boubakari Ibrahimou

Central Limit Theorem of the Recursive Estimate of Density Function Under Randomly Censored Data pp. 1-30

Meraou Mohammed Amine and Rabhi Abbes

Statistics of Non-Conserved Observables in Lindblad Master Equations pp. 1-17

Giovanni Modanese

Hybrid Regime-Switching Models for Cryptocurrency Prices: An Asset-Dependent Performance Analysis Using Markov Chains and Random Forests pp. 1-17

Steve Karam, Joseph El Maalouf and Nadine Dirani

Pertinent Prediction Intervals in Linear Regression pp. 1-15

Dimitris N. Politis

Changes in Variance and the Detection of Trends pp. 1-9

Markus Neuhäuser

Volume 9, issue 3, 2026

Global Versus Australian Progress in Multi-Pollutant Air Quality: GAM-Based Trend Analysis and a Clean-Air Progress Index (1990–2019) pp. 1-26

Khaled Haddad

The Poisson–QGamma Distribution: Properties, Estimation Methods, Regression Modeling, and Applications in Engineering Count Data pp. 1-26

Fatma Zohra Seghier, Halim Zeghdoudi, Muhammad Ameeq and Sana Kanwal

A Two-Stage Changepoint–Copula Framework for Non-Stationary Count Time Series: Application to Tropical Cyclones pp. 1-37

Md Iqbal Hossain and Norou Diawara

Unified Numerical Method for Stochastic Differential Equations with Poisson and Gaussian White Noises pp. 1-18

Mircea D. Grigoriu

Goodness-of-Fit Test for the Kumaraswamy Distribution via Energy Distance Approach with Applications to Real Data pp. 1-20

Joseph Njuki and Thomas Gilbert

The Generalized Marshall–Olkin Topp–Leone-G Family: Properties, Estimation, and Goodness-of-Fit Testing Under Right-Censored Data pp. 1-22

Aidi Khaoula, Laba Handique and Djemoui Nour el Houda

A Random Activation Framework for Cure Models with Waring-Distributed Latent Causes pp. 1-22

Jonathan K. J. Vasquez, Vera Tomazella, Danilo Alvares, Pedro Rafael D. Marinho and Joaquín Martínez-Minaya

Extreme Rainfall Modelling Using Time-Varying Threshold Generalised Pareto Regression Trees pp. 1-24

Matome Lesley Sebola and Daniel Maposa

BLIDE: Bayesian Learning of Infectious Disease Emerging in COVID-19 Studies pp. 1-24

Avizit Chandra Adhikary, Ziyu Liu, Anisha Das, Rongjie Liu and Chao Huang

Predictive Power Analysis of Multiple Test Procedures Under Arbitrary Dependence pp. 1-24

George Karabatsos

Mathematical Analysis and Computational Approximation of Extremal Points of the Subset of Copulas pp. 1-24

Rachid Jaafar, Ahmed Hfa and Ahmed Sani

A Practical Framework for Incorporating Complex Survey Design in Bayesian Kernel Machine Regression pp. 1-28

Doreen Jehu-Appiah and Emmanuel Obeng-Gyasi

Extending Entropic Value at Risk Using the γ -Order Generalized Normal Distribution pp. 1-23

Christos P. Kitsos, Ulrich E. Nyamsi and Ioannis S. Stamatiou

A Comparative Study of Robust and Improved Shrinkage Estimators Under Multicollinearity and Outliers Using Multiple Performance Criteria with Application to Health Data pp. 1-42

Nusrat Yasmin, B. M. Golam Kibria and Zoran Bursac

A Copula-Based Framework for Multivariate Count Time Series with Mixed Marginal Distributions pp. 1-15

Dimuthu Fernando, Yuxin Wen and Wimarsha Jayanetti

Large Sample Theory for Some Ridge-Type Regression Estimators pp. 1-15

Yu Jin and David J. Olive

Defining Effect Size Thresholds for OR, RR, and η 2 in Physiotherapy Studies pp. 1-11

Grzegorz Zieliński

Defective Gamma–G Family for Cure Fraction Models: Novel Survival Methods with Applications to Cancer Data pp. 1-30

Cynthia A. V. Tojeiro, Vera L. D. Tomazella, Agatha S. Rodrigues and Pedro R. D. Marinho

Bootstrap-Calibrated Outlier Detection and Influence Diagnostics for Meta-Analysis: The R Package boutliers pp. 1-13

Hisashi Noma, Kazushi Maruo and Masahiko Gosho

Discrimination of Geological Orientation Data with Measurement Errors pp. 1-13

Marco Di Marzio, Stefania Fensore, Agnese Panzera and Chiara Passamonti

On the Sine Inverse Lomax Burr III Distribution with Application to Monthly Actual Tax Revenue Data pp. 1-25

Anuwoje Ida. L. Abonongo, John Abonongo and Samuel Asante Gyamerah

Volume 9, issue 2, 2026

Multidimensional Correlates of Childhood Stunting in India: A Spatial Machine Learning and Explainable AI Approach pp. 1-16

Bhagyajyothi Rao, Md Gulzarull Hasan, Bandhavya Putturaya, Asha Kamath, Mohammad Aatif and Yousif M. Elmosaad

On the Classification–Causal Tradeoff in Neural Network Propensity Score Estimation pp. 1-16

Seungman Kim, Jaehoon Lee and Kwanghee Jung

Combinatorial Game Theory and Reinforcement Learning in Cumulative Tic-Tac-Toe via Evaluation Functions pp. 1-28

Kai Li and Wei Zhu

Assessing the Accuracy of Bootstrap-Based Standard Errors in Regression Models with Unobserved Heterogeneity pp. 1-19

Yingjuan Zhang and Jochen Einbeck

A New Depth-Based Test for Multivariate Two-Sample Problems pp. 1-22

My Luu, Yuejiao Fu, Augustine Wong and Xiaoping Shi

A Novel Exponentiated Pareto Exponential Distribution with Applications in Environmental and Financial Datasets pp. 1-20

Ibrahim Sule and Mogiveny Rajkoomar

Asymptotic Properties of Error Density Estimators in the Two-Phase Linear Regression Model pp. 1-14

Fuxia Cheng and Lixia Wang

A New Partially Linear Regression with an Application to the Price of Coffee Before and After the Pandemic pp. 1-14

Edwin M. M. Ortega, Gabriela M. Rodrigues, Kwan Sung Jang and Gauss M. Cordeiro

Multiple Imputation of a Continuous Outcome with Fully Observed Predictors Using TabPFN pp. 1-18

Jerome Sepin

Abundance Estimation Using Minimum Order Set Distances in Line Transect Sampling pp. 1-26

Mohammad Ali Al Kadiri and Mariam H. Al-Husari

On Dimension-Free Stochastic Surrogates and Estimators of Cross-Partial Derivatives and the Hessian Matrix pp. 1-26

Matieyendou Lamboni

MAI-GAN: An Inferentially Calibrated Generative Framework for Multilevel Longitudinal Data with Applications to Educational Intersectionality pp. 1-26

Benjamin Hechtman, Ross H. Nehm and Wei Zhu

Ordering and Quantifying Textual Cohesion via Semantic, Geometric and Statistical Structure pp. 1-21

Stelios Arvanitis

A Bayesian Approach for Clustering Constant-Wise Change-Point Data pp. 1-25

Ana Carolina da Cruz and Camila P. E. de Souza

Meta-Analysis of Paired Binary Data with Unobserved Dependence: Insights from Laterality and Bilateralism in Anatomy pp. 1-36

Vasileios Papadopoulos and Aliki Fiska

Comparison of Minimal Circular Balanced RMDs Constructed Through Rule I and II of Cyclic Shifts Method pp. 1-13

Muhammad Ejaz Malik, Muhammad Ameeq, Muhammad Riaz and Rashid Ahmed

Correction: Risca et al. Archimedean Copulas: A Useful Approach in Biomedical Data—A Review with an Application in Pediatrics. Stats 2025, 8, 69 pp. 1-2

Giulia Risca, Stefania Galimberti, Paola Rebora, Alessandro Cattoni, Maria Grazia Valsecchi and Giulia Capitoli

The Path from PCA to Autoencoders to Variational Autoencoders: Building Intuition for Deep Generative Modeling pp. 1-48

Alaa Tharwat and Mahmoud M. Eid

Scalable Likelihood Inference for Student- t Copula Count Time Series pp. 1-48

Quynh Nhu Nguyen and Victor De Oliveira

The Gamma Power Generalized Weibull Distribution: Modeling Bibliometric Data pp. 1-17

Arioane Primon Soares, Ryan Novaes Pereira, Fernando A. Peña-Ramírez, Luz Milena Zea Fernández and Renata Rojas Guerra

An Adaptive Method to Identify Outliers in Skewed Observations: Application to Assess NAACCR Cancer Registry Data Usage pp. 1-17

Xiaowen Yang, Amjila Bam, Nubaira Rizvi, Xiao-Cheng Wu, Donald Mercante and Qingzhao Yu

Coverage and Precision of Net Promoter Score Confidence Intervals Across Sampling Distributions pp. 1-17

Philip Turk, Jordan Cinderich and Emma McNeill

Analyzing Complex Non-Linear Fascia-Muscle Interactions Using Cross-Recurrence Quantification Analysis pp. 1-11

Andreas Brandl, Marcus Müller and Robert Schleip

Estimator Statistics from Simulation-Free Dirichlet Block-Bootstrap Resampling pp. 1-23

Tillmann Rosenow

Volume 9, issue 1, 2025

Performance Forecasting for Multi-Server Retrial Queue with Possibility of Processing Repetition and Server Reservation for Repeating Users pp. 1-22

Alexander N. Dudin, Sergei A. Dudin and Olga S. Dudina

Preliminary and Shrinkage-Type Estimation for the Parameters of the Birnbaum–Saunders Distribution Based on Modified Moments pp. 1-20

Syed Ejaz Ahmed, Muhammad Kashif Ali Shah, Waqas Makhdoom and Nighat Zahra

Stochastic Complexity of Rayleigh and Rician Data with Normalized Maximum Likelihood pp. 1-14

Aaron Lanterman

The Bivariate Poisson–X–Exponential Distribution: Theory, Inference, and Multidomain Applications pp. 1-14

Wafa Treidi and Halim Zeghdoudi

Performance Evaluation of the Robust Stein Estimator in the Presence of Multicollinearity and Outliers pp. 1-29

Lwando Dlembula, Chioneso Show Marange and Lwando Orbet Kondlo

Probabilistic Links Between Quantum Classification of Patterns of Boolean Functions and Hamming Distance pp. 1-29

Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas and Nectarios Koziris

Repeated Measurement Designs of Five Periods: Estimating the Parameter of Carryover Effects pp. 1-12

Miltiadis S. Chalikias

Estimating the Parameter of Direct Effects in Crossover Designs: The Case of 6 Periods and 2 Treatments pp. 1-12

Miltiadis S. Chalikias

Improving Confidence Interval Estimation in Logistic Regression with Multicollinear Predictors: A Comparative Study of Shrinkage Estimators and Application to Prostate Cancer Data pp. 1-45

Sultana Mubarika Rahman Chowdhury, Zoran Bursac and B. M. Golam Kibria

Tuning for Precision Forecasting of Green Market Volatility Time Series pp. 1-24

Sonia Benghiat and Salim Lahmiri

New Two-Parameter Ridge Estimators for Addressing Multicollinearity in Linear Regression: Theory, Simulation, and Applications pp. 1-33

Md Ariful Hoque, B. M. Golam Kibria and Zoran Bursac

eduSTAT—Automated Workflows for the Analysis of Small- to Medium-Sized Datasets pp. 1-5

Rudolf Golubich

A Proportional Hazards Mixture Cure Model for Subgroup Analysis: Inferential Method and an Application to Colon Cancer Data pp. 1-15

Kai Liu, Yingwei Peng and Narayanaswamy Balakrishnan

Two-Stage Wiener-Physically-Informed-Neural-Network ( W-PINN ) AI Methodology for Highly Dynamic and Highly Complex Static Processes pp. 1-15

Dillon G. Hurd, Yuderka T. González, Jacob Oyler, Spencer Wolfe, Monica H. Lamm and Derrick K. Rollins

A Utility-Driven Bayesian Design: A New Framework for Extracting Optimal Experiments from Observational Reliability Data pp. 1-15

Rossella Berni, Nedka Dechkova Nikiforova and Federico Mattia Stefanini

ST-Community Detection Methods for Spatial Transcriptomics Data Analysis pp. 1-23

Charles Zhao and Jian-Jian Ren

Using Vector Representations of Characteristic Functions and Vector Logarithms When Proving Asymptotic Statements pp. 1-7

Wolf-Dieter Richter

The Stingray Copula for Negative Dependence pp. 1-25

Alecos Papadopoulos

Effect Structures in Ordinal Regression: The Adjacent Categories Approach pp. 1-21

Gerhard Tutz

Sample Size Calculation and Power Analysis for the General Mediation Analysis Method pp. 1-13

Nubaira Rizvi, Amjila Bam, Wentao Cao and Qingzhao Yu

Penalized Likelihood Estimation of Continuation Ratio Models for Ordinal Response and Its Application in CGSS Data pp. 1-13

Huihui Sun and Yemin Cui