Stats (ISSN 2571-905X) is an international peer-reviewed open access journal on statistical science.

Joined September 2019
314 Photos and videos
📝A Bayesian Approach for Clustering Constant-Wise Change-Point Data 👥by Ana Carolina da Cruz and Camila P. E. de Souza #ChangePointModels; #ModelBasedClustering; #BayesianInference; #DirichletProcess 📖brnw.ch/21x3gJm
101
📝Comparison of Minimal Circular Balanced RMDs Constructed Through Rule I and II of Cyclic Shifts Method 👥by Muhammad Ejaz Malik et al. #CarryoverEffects; #DirectEffect; #EfficiencyOfSeparability; #EfficiencyOfResidualEffects 📖brnw.ch/21x3eEU
7
📝Combinatorial Game Theory and Reinforcement Learning in Cumulative Tic-Tac-Toe via Evaluation Functions 👥by Kai Li and Wei Zhu 📖brnw.ch/21x3aWe #CumulativeTicTacToe; #CombinatorialGameTheory; #ReinforcementLearning; #TemporalDifferenceLearning;
26
✨ Good news! 📈 We are delighted to share that our journal's CiteScore has increased to 1.9.
9
📝Asymptotic Properties of Error Density Estimators in the Two-Phase Linear Regression Model 👥by Fuxia Cheng and Lixia Wang #TwoPhaseLinearRegressionModel; #KernelEstimation; #Residuals; #AsymptoticDistribution 📖brnw.ch/21x2PTl
11
📝The Stingray Copula for Negative Dependence 👥by Alecos Papadopoulos #Copula; #NegativeDependence; #Concordance; #KendallsTau; #SpearmansRho 📖brnw.ch/21x2JpW
9
📝The Path from PCA to Autoencoders to Variational Autoencoders: Building Intuition for Deep Generative Modeling 👥by Alaa Tharwat & Mahmoud M. Eid #PCA; #VariationalAutoencoder; #Autoencoder; #GenerativeModels 📖brnw.ch/21x2Hjz
1
1
27
FINAL WEEK – ONLY 7 DAYS LEFT to submit your abstract for #IOCSYM2026! Deadline: 24 May 2026 14 Session Chairs | 27 Committee Members | 7 Sessions | 6 Awards | Free registration Don't miss out – submit today! brnw.ch/21x2Hdh
6
📝Abundance Estimation Using Minimum Order Set Distances in Line Transect Sampling 👥by Mohammad Ali Al Kadiri & Mariam H. Al-Husari #LineTransectSampling; #AbundanceEstimation; #MinimumOrderStatistics; #NonparametricMethods; #DistanceSampling; 📖brnw.ch/21x2F0N
11
📝Performance Evaluation of the Robust Stein Estimator in the Presence of Multicollinearity and Outliers 👥by Lwando Dlembula et al. #RobustStein; #Multicollinearity; #Outliers; #LinearRegression; #OrdinaryLeastSquares 📖brnw.ch/21x2AHT
4
📝Penalized Likelihood Estimation of Continuation Ratio Models for Ordinal Response and Its Application in CGSS Data 👥by Huihui Sun & Yemin Cui #OrdinalResponseVariable; #ContinuationRatioModels; #SCADFunction; #PenaltyLikelihoodEstimation 📖brnw.ch/21x2wvP
18
📝A Proportional Hazards Mixture Cure Model for Subgroup Analysis: Inferential Method and an Application to Colon Cancer Data 👥by Kai Liu et al. #SurvivalAnalysis; #CureModel; #ChangePoint; #TreatmentSensitive; #KernelSmoothing; #ColonCancer 📖brnw.ch/21x2uqj
17
📝The Bivariate Poisson–X–Exponential Distribution: Theory, Inference, and Multidomain Applications 👥by Wafa Treidi & Halim Zeghdoudi #PoissonMixtures; #XExponentialDistribution; #Overdispersion; #BivariateCountData; #Regression; #BayesianInference 📖brnw.ch/21x2sj5
19
📝Enhancing Diversity and Improving Prediction Performance of Subsampling-Based Ensemble Methods 👥by Maria Ordal & Qing Wang #Diversity; #EnsembleMethods; #PartitionSubsampling; #ShiftSubsampling; #Subbagging 📖brnw.ch/21x2siT
15
📝Proximal Causal Inference for Censored Data with an Application to Right Heart Catheterization Data 👥by Yue Hu, Yuanshan Gao & Minhao Qi #ProximalCausalInference; #CensoredData; #Identification; #UnmeasuredConfounding 📖brnw.ch/21x2siB
44
📝Machine Learning Ensemble Algorithms for Classification of Thyroid Nodules Through Proteomics: Extending the Method of Shapley Values from Binary to Multi-Class Tasks 👥by Giulia Capitoli et al. #ShapleyValues; #EnsembleLearning; #ThyroidCancer 📖brnw.ch/21x2siu
18
📝A Data-Driven Approach of DRG-Based Medical Insurance Payment Policy Formulation in China Based on an Optimization Algorithm 👥by Kun Ba & Biqing Huang #DiagnosisRelatedGroup; #DecisionSupportSystem; #OptimizationAlgorithm 📖brnw.ch/21x2q03
14
📝Unraveling Similarities and Differences Between Non-Negative Garrote and Adaptive Lasso: A Simulation Study in Low- and High-Dimensional Data 👥by Edwin Kipruto & Willi Sauerbrei #AdaptiveLasso; #NonNegativeGarrote; #SimulationStudy; 📖brnw.ch/21x2pZN
6