期刊名：Stats

期刊主页：https://www.mdpi.com/journal/stats

本期文献清单选取了2025年发表在 Stats 期刊上的16篇主编精选文章，欢迎广大读者阅览分享。本刊所有文章均以开放获取形式出版，可免费供您免费并无限制地阅读全部内容。

1. Validated Transfer Learning Peters–Belson Methods for Survival Analysis: Ensemble Machine Learning Approaches with Overfitting Controls for Health Disparity Decomposition

用于生存分析的已验证迁移学习Peters-Belson方法：具有过拟合控制的集成机器学习方法用于健康差异分解

https://www.mdpi.com/2571-905X/8/4/114

Liang, M.; Li, Y. Validated Transfer Learning Peters–Belson Methods for Survival Analysis: Ensemble Machine Learning Approaches with Overfitting Controls for Health Disparity Decomposition. Stats 2025, 8, 114.

2. Maximum Likelihood and Calibrating Prior Prediction Reliability Bias Reference Charts

最大似然与校准先验预测可靠性偏倚参考图表

https://www.mdpi.com/2571-905X/8/4/109

Jewson, S. Maximum Likelihood and Calibrating Prior Prediction Reliability Bias Reference Charts. Stats 2025, 8, 109.

3. A High Dimensional Omnibus Regression Test

一种高维综合回归检验

https://www.mdpi.com/2571-905X/8/4/107

Abid, A.M.; Quaye, P.A.; Olive, D.J. A High Dimensional Omnibus Regression Test. Stats 2025, 8, 107.

4. Predictions of War Duration

战争持续时间的预测

https://www.mdpi.com/2571-905X/8/4/92

McRae, G. Predictions of War Duration. Stats 2025, 8, 92.

5. A Simulation-Based Comparative Analysis of Two-Parameter Robust Ridge M-Estimators for Linear Regression Models

线性回归模型中双参数稳健岭M估计量的基于仿真的比较分析

https://www.mdpi.com/2571-905X/8/4/84

Haider, B.; Asim, S.M.; Wasim, D.; Kibria, B.M.G. A Simulation-Based Comparative Analysis of Two-Parameter Robust Ridge M-Estimators for Linear Regression Models. Stats 2025, 8, 84.

6. The Unit-Modified Weibull Distribution: Theory, Estimation, and Real-World Applications

单位修正Weibull分布：理论、估计与实际应用

https://www.mdpi.com/2571-905X/8/3/81

Sarhan, A.M.; Manshi, T.; Sobh, M.E. The Unit-Modified Weibull Distribution: Theory, Estimation, and Real-World Applications. Stats 2025, 8, 81.

7. A Markov Chain Monte Carlo Procedure for Efficient Bayesian Inference on the Phase-Type Aging Model

用于相型老化模型高效贝叶斯推断的马尔可夫链蒙特卡洛程序

https://www.mdpi.com/2571-905X/8/3/77

Nie, C.; Liu, X.; Provost, S.; Ren, J. A Markov Chain Monte Carlo Procedure for Efficient Bayesian Inference on the Phase-Type Aging Model. Stats 2025, 8, 77.

8. Pattern Classification for Mixed Feature-Type Symbolic Data Using Supervised Hierarchical Conceptual Clustering

基于监督层次概念聚类的混合特征类型符号数据模式分类

https://www.mdpi.com/2571-905X/8/3/76

Ichino, M.; Yaguchi, H. Pattern Classification for Mixed Feature-Type Symbolic Data Using Supervised Hierarchical Conceptual Clustering. Stats 2025, 8, 76.

9. Evaluating Estimator Performance Under Multicollinearity: A Trade-Off Between MSE and Accuracy in Logistic, Lasso, Elastic Net, and Ridge Regression with Varying Penalty Parameters

多重共线性下估计量性能评估：不同惩罚参数下Logistic、Lasso、弹性网络回归和岭回归中均方误差与准确率的权衡

https://www.mdpi.com/2571-905X/8/2/45

Nayem, H.M.; Aziz, S.; Kibria, B.M.G. Evaluating Estimator Performance Under Multicollinearity: A Trade-Off Between MSE and Accuracy in Logistic, Lasso, Elastic Net, and Ridge Regression with Varying Penalty Parameters. Stats 2025, 8, 45.

10. mbX: An R Package for Streamlined Microbiome Analysis

mbX：用于简化微生物组分析的 R 包

https://www.mdpi.com/2571-905X/8/2/44

Lamichhane, U.; Lourenco, J. mbX: An R Package for Streamlined Microbiome Analysis. Stats 2025, 8, 44.

11. Modeling Uncertainty in Ordinal Regression: The Uncertainty Rating Scale Model

序数回归中的不确定性建模：不确定性评级尺度模型

https://www.mdpi.com/2571-905X/8/2/42

Tutz, G. Modeling Uncertainty in Ordinal Regression: The Uncertainty Rating Scale Model. Stats 2025, 8, 42.

12. A Smoothed Three-Part Redescending M-Estimator

一种平滑的三段式重降 M 估计器

https://www.mdpi.com/2571-905X/8/2/33

Martin, A.J.; Clarke, B.R. A Smoothed Three-Part Redescending M-Estimator. Stats 2025, 8, 33.

13. Quantum-Inspired Latent Variable Modeling in Multivariate Analysis

多元分析中的量子启发潜变量建模

https://www.mdpi.com/2571-905X/8/1/20

Kyriazos, T.; Poga, M. Quantum-Inspired Latent Variable Modeling in Multivariate Analysis. Stats 2025, 8, 20.

14. A New Weighted Lindley Model with Applications to Extreme Historical Insurance Claims

一种新的加权 Lindley 模型及其在极端历史保险索赔中的应用

https://www.mdpi.com/2571-905X/8/1/8

Alizadeh, M.; Afshari, M.; Cordeiro, G.M.; Ramaki, Z.; Contreras-Reyes, J.E.; Dirnik, F.; Yousof, H.M. A New Weighted Lindley Model with Applications to Extreme Historical Insurance Claims. Stats 2025, 8, 8.

15. Bidirectional f-Divergence-Based Deep Generative Method for Imputing Missing Values in Time-Series Data

基于双向f-散度的深度生成方法用于时间序列数据缺失值插补

https://www.mdpi.com/2571-905X/8/1/7

Liu, W.-S.; Si, T.; Kriauciunas, A.; Snell, M.; Gong, H. Bidirectional f-Divergence-Based Deep Generative Method for Imputing Missing Values in Time-Series Data. Stats 2025, 8, 7.

16. Exact Inference for Random Effects Meta-Analyses for Small, Sparse Data

针对小型稀疏数据的随机效应元分析的精确推断

https://www.mdpi.com/2571-905X/8/1/5

Gronsbell, J.; McCaw, Z.R.; Regis, T.; Tian, L. Exact Inference for Random Effects Meta-Analyses for Small, Sparse Data. Stats 2025, 8, 5.

期刊介绍

Stats 是一个国际化、经同行评审的开放获取期刊，由MDPI每季度在线出版。该期刊重点关注统计学、概率论、随机过程以及统计学在所有科学学科 (包括生物和生物医学科学、医学、商业、经济学和社会科学、物理学、数据科学和工程学) 中创新应用方面的方法性和理论性论文。目前，Stats 期刊已被ESCI (Web of Science)、Scopus、RePEc等数据库收录。

2025 Impact Factor：1.1

2025 CiteScore：1.9

Time to First Decision：22.3 Days

Acceptance to Publication：3.8 Days