Research Article210.1016/j.csda.2022.107665Polya tree Monte Carlo methodNov 25, 2022Computational Statistics & Data AnalysisHaoxin Zhuang + 2 more +2CiteListenSave
Research Article410.1016/j.csda.2022.107656Extending the Fellegi-Sunter record linkage model for mixed-type data with application to the French national health data systemNov 14, 2022Computational Statistics & Data AnalysisThanh Huan Vo + 5 more +5CiteListenSave
Research Article210.1016/j.csda.2022.107653Data-driven stabilizations of goodness-of-fit testsOct 29, 2022Computational Statistics & Data AnalysisAlberto Fernández-De-Marcos + 1 more +1CiteListenSave
Research Article410.1016/j.csda.2022.107564Robust polytomous logistic regressionJul 13, 2022Computational Statistics & Data AnalysisJulien Miron + 2 more +2In the context of polytomous regression, as with any generalized linear model, robustness issues are well documented. Existing robust estimators are designed to protect against misclassification, but do not protect against outlying covariates. It is shown that this can have a much bigger impact on estimation and testing than misclassification alone. To address this problem, two new estimators are introduced: a robust generalized linear model-type estimator and an optimal B-robust estimator, together with the corresponding Wald-type and score-type tests. Asymptotic distributions and variances of these estimators are provided as well as the asymptotic distributions of the test statistics under the null hypothesis. A complete comparison of the proposed new estimators and existing alternatives is presented. This is performed theoretically by studying the influence functions of the estimators, and empirically through simulations and applications to a medical dataset.Read moreCiteListenSave
Research Article210.1016/j.csda.2022.107555Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheresJul 08, 2022Computational Statistics & Data AnalysisPier Giovanni Bissiri + 4 more +4CiteListenSave
Research Article3310.1016/j.csda.2022.107556Smooth LASSO estimator for the Function-on-Function linear regression modelJul 04, 2022Computational Statistics & Data AnalysisFabio Centofanti + 3 more +3CiteListenSave
Research Article210.1016/j.csda.2022.107518Local and global topics in text modeling of web pages nested in web sitesApr 28, 2022Computational Statistics & Data AnalysisJason Wang + 1 more +1CiteListenSave
Research Article810.1016/j.csda.2022.107508Safe sample screening rules for multicategory angle-based support vector machinesApr 27, 2022Computational Statistics & Data AnalysisYiwei Fan + 1 more +1CiteListenSave
Front Matter10.1016/s0167-9473(22)00092-5Editorial BoardApr 22, 2022Computational Statistics & Data AnalysisCiteListenSave
Research Article1210.1016/j.csda.2022.107506Stochastic representation of FGM copulas using multivariate Bernoulli random variablesApr 20, 2022Computational Statistics & Data AnalysisChristopher Blier-Wong + 2 more +2CiteListenSave