Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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Volume 161, issue C, 2021

Testing error heterogeneity in censored linear regression

Caiyun Fan, Wenbin Lu and Yong Zhou

Bayes linear analysis for ordinary differential equations

Matthew Jones, Michael Goldstein, David Randell and Philip Jonathan

Copula Particle Filters

Carlos E. Rodríguez and Stephen G. Walker

Combining heterogeneous spatial datasets with process-based spatial fusion models: A unifying framework

Craig Wang and Reinhard Furrer

An ensemble of inverse moment estimators for sufficient dimension reduction

Qin Wang and Yuan Xue

A Bayesian semiparametric vector Multiplicative Error Model

Nicola Donelli, Stefano Peluso and Antonietta Mira

Testing the first-order separability hypothesis for spatio-temporal point patterns

Mohammad Ghorbani, Nafiseh Vafaei, Jiří Dvořák and Mari Myllymäki

Generalized accelerated hazards mixture cure models with interval-censored data

Xiaoyu Liu and Liming Xiang

A class of Birnbaum–Saunders type kernel density estimators for nonnegative data

Yoshihide Kakizawa

Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data

Philippe Lambert

Communication-efficient distributed M-estimation with missing data

Jianwei Shi, Guoyou Qin, Huichen Zhu and Zhongyi Zhu

Harmless label noise and informative soft-labels in supervised classification

Daniel Ahfock and Geoffrey J. McLachlan

Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use

Jung Wun Lee, Hwan Chung and Saebom Jeon

Robust communication-efficient distributed composite quantile regression and variable selection for massive data

Kangning Wang, Shaomin Li and Benle Zhang

Volume 160, issue C, 2021

Two-sample test in high dimensions through random selection

Tao Qiu, Wangli Xu and Liping Zhu

FunCC: A new bi-clustering algorithm for functional data with misalignment

Marta Galvani, Agostino Torti, Alessandra Menafoglio and Simone Vantini

Robust tests for time series comparison based on Laplace periodograms

Lei Jin

Bias-corrected Kullback–Leibler distance criterion based model selection with covariables missing at random

Yuting Wei, Qihua Wang, Xiaogang Duan and Jing Qin

Robust distributed modal regression for massive data

Kangning Wang and Shaomin Li

Time stable empirical best predictors under a unit-level model

María Guadarrama, Domingo Morales and Isabel Molina

Frequentist delta-variance approximations with mixed-effects models and TMB

Nan Zheng and Noel Cadigan

Latent association graph inference for binary transaction data

David Reynolds and Luis Carvalho

Composite quantile regression for ultra-high dimensional semiparametric model averaging

Chaohui Guo, Jing Lv and Jibo Wu

Marginal false discovery rate for a penalized transformation survival model

Weijuan Liang, Shuangge Ma and Cunjie Lin

Parallel integrative learning for large-scale multi-response regression with incomplete outcomes

Ruipeng Dong, Daoji Li and Zemin Zheng

In the pursuit of sparseness: A new rank-preserving penalty for a finite mixture of factor analyzers

Nam-Hwui Kim and Ryan P. Browne

A kernel-based measure for conditional mean dependence

Tingyu Lai, Zhongzhan Zhang and Yafei Wang

Robust MAVE through nonconvex penalized regression

Jing Zhang, Qin Wang and D'Arcy Mays

Volume 159, issue C, 2021

A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling

Stéphanie Allassonnière and Juliette Chevallier

Subgroup causal effect identification and estimation via matching tree

Yuyang Zhang, Patrick Schnell, Chi Song, Bin Huang and Bo Lu

Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables

Sebastian Fuchs, F. Marta L. Di Lascio and Fabrizio Durante

Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method

J. Lars Kirkby, Álvaro Leitao and Duy Nguyen

Deep distribution regression

Rui Li, Brian J. Reich and Howard D. Bondell

Hypothesis testing of varying coefficients for regional quantiles

Seyoung Park and Eun Ryung Lee

Tuning-free ridge estimators for high-dimensional generalized linear models

Shih-Ting Huang, Fang Xie and Johannes Lederer

Censored mean variance sure independence screening for ultrahigh dimensional survival data

Wei Zhong, Jiping Wang and Xiaolin Chen

Hidden semi-Markov-switching quantile regression for time series

Antonello Maruotti, Lea Petrella and Luca Sposito

Tests for differential Gaussian Bayesian networks based on quadratic inference functions

Xianzheng Huang and Hongmei Zhang

Promote sign consistency in the joint estimation of precision matrices

Qingzhao Zhang, Shuangge Ma and Yuan Huang

Generalized k-means in GLMs with applications to the outbreak of COVID-19 in the United States

Tonglin Zhang and Ge Lin

Ensemble sparse estimation of covariance structure for exploring genetic disease data

Xiaoning Kang and Mingqiu Wang

Volume 158, issue C, 2021

Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection

Yizeng He, Soyoung Kim, Mi-Ok Kim, Wael Saber and Kwang Woo Ahn

Testing conditional mean through regression model sequence using Yanai’s generalized coefficient of determination

Masao Ueki

Unsupervised image segmentation with Gaussian Pairwise Markov Fields

Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini and Christophe Collet

A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations

Saint-Clair Chabert-Liddell, Pierre Barbillon, Sophie Donnet and Emmanuel Lazega

Variable selection in finite mixture of regression models with an unknown number of components

Kuo-Jung Lee, Martin Feldkircher and Yi-Chi Chen

Estimating robot strengths with application to selection of alliance members in FIRST robotics competitions

Alejandro Lim, Chin-Tsang Chiang and Jen-Chieh Teng

Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions

Elham Mirfarah, Mehrdad Naderi and Ding-Geng Chen

Explicit-duration Hidden Markov Models for quantum state estimation

Alessandra Luati and Marco Novelli

Computation of projection regression depth and its induced median

Yijun Zuo

Confidence intervals for spatial scan statistic

Ivair R. Silva, Luiz Duczmal and Martin Kulldorff

Robust variable selection for model-based learning in presence of adulteration

Andrea Cappozzo, Francesca Greselin and Thomas Brendan Murphy

Response adaptive designs for Phase II trials with binary endpoint based on context-dependent information measures

Ksenia Kasianova, Mark Kelbert and Pavel Mozgunov

Robust designs for dose–response studies: Model and labelling robustness

Douglas P. Wiens

Clustering with the Average Silhouette Width

Fatima Batool and Christian Hennig

High dimensional regression for regenerative time-series: An application to road traffic modeling

Mohammed Bouchouia and François Portier

Clusterwise functional linear regression models

Ting Li, Xinyuan Song, Yingying Zhang, Hongtu Zhu and Zhongyi Zhu