Computational Statistics & Data Analysis

1983 - 2026

Current editor(s): S.P. Azen

From Elsevier
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Volume 222, issue C, 2026

Wasserstein tests for equality of several groups for distributional data

Sanghun Jeong, Hyeonseung Yoon, Jeffrey S. Morris and Hojin Yang

Participant-level quantile surfaces for actigraphy data

Frederike Vogel, Álvaro Méndez-Civieta, Ying Wei, Keith M. Diaz and Jeff Goldsmith

Detecting special Toeplitz error structure and testing for homogeneity of effects in one-way ANOVA models

Raju Dey and Somesh Kumar

Inferences on blockwise correlation matrix with unknown group structure

Bo Lei, Wei Lan and Xinyan Fan

Tree-based heterogeneous block Gaussian graphical models

Xin Zeng, Shuangge Ma and Qingzhao Zhang

Adaptive robust estimation for varying coefficient models

Tao Wang and Weixin Yao

A penalized maximum likelihood approach to deal with latent state separation in hidden Markov models with covariates and lagged responses

Luca Brusa, Fulvia Pennoni, Francesco Bartolucci and Romina Peruilh Bagolini

ModeKoff: A unified modal-based variable screening method for high-dimensional data with FDR control

Wei Xiong and Qinming Zhang

Extreme risk decision modeling: a new approach with an application to air pollution based on PM2.5

Irene Brito and Marta Ferreira

Volume 221, issue C, 2026

Fast approximate posterior inference for modeling disease dynamics via state-space models

Meini Tang and Raquel Prado

Factor augmented CUB model for multivariate ordinal data

Zhi Zheng, Weiping Zhang and Yu Chen

Optimising covariate allocation at design stage using fisher information matrix for non-linear mixed effects models in pharmacometrics

Lucie Fayette, Karl Brendel and France Mentré

Generalized linear mixed-effects joint model for longitudinal and bivariate survival data

Jiming Chen, Yangxin Huang and Niansheng Tang

CSDA Editorial 3rd special issue on Biostatistics Dedicated to Stan Azen, founding editor of CSDA

Lutz Edler, Erricos Kontoghiorghes, Jae Won Lee, Martina Mittlboeck, Joyce C. Niland and F. Javier Rubio

Design and analysis of batched order-of-addition experiments

Chendi Zhao, Jianbin Chen and Min-Qian Liu

Multiplier bootstrap specification tests for conditional variance functions in heteroskedastic regression models

Xiaojun Song and Jichao Yuan

Volume 220, issue C, 2026

Dirichlet process multi-state mixture models

Rosario Barone and Andrea Tancredi

Reduced-bias whittle likelihood estimation for short- and long-memory processes

Francesca Papagni, Greta Goracci and Davide Ferrari

Random irregular histograms

Oskar Høgberg Simensen, Dennis Christensen and Nils Lid Hjort

Statistical inference on optimal operating characteristics for operational markers when the likelihood ratio is unimodal: A parametric approach

Achilleas Anastasiou and John Tsimikas

Adaptive group lasso penalized variable selection for high-dimensional varying-coefficient panel data models with fixed effects

Yiping Yang and Gaorong Li

Learning block structures in covariance matrices under heteroskedasticity

Jiaqi Wu and Weiping Zhang

Editorial fourth special issue on matrix computations and statistics

Xiao-Wen Chang, Cristian Gatu and Erricos Kontoghiorghes

Volume 219, issue C, 2026

Thin plate regression splines for treatment effect estimation in a local randomisation regression discontinuity design

Mariam O. Adeleke, Giampiero Marra, Gianluca Baio and O’Keeffe, Aidan G.

Certifiably optimal direction estimation in sparse single-index model

Yangzhou Chen, Lei Yan, Xin Chen and Shuaida He

Robust functional regression with discretely sampled predictors

Ioannis Kalogridis and Stanislav Nagy

Renewable penalized linear regression via inverse probability weighting for streaming data with missing covariates

Kang Meng and Yujie Gai

Efficient genome-wide association studies via low-rank approximations

Zhongyuan Chen, Han Liang and Peng Wei

A smoothed maximum rank correlation estimator for deep ordinal choice models

Yiwei Fan, Xiaoshi Lu and Xiaoling Lu

Efficient and robust block designs for order-of-addition experiments

Chang-Yun Lin

An integrated method for clustering and association network inference

Jeanne Tous and Julien Chiquet

Automated specification search for composite-based structural equation modeling: A genetic approach

Laura Trinchera, Gloria Pietropolli, Mauro Castelli and Florian Schuberth

Adaptive accelerated failure time modeling with a semiparametric skewed error distribution

Sangkon Oh, Hyunjae Lee, Sangwook Kang and Byungtae Seo

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors

Kun Fan, Srijana Subedi, Vishmi Dissanayake and Cen Wu

Volume 218, issue C, 2026

Pure error REML for analyzing data from multi-stratum designs

Steven G. Gilmour, Peter Goos and Heiko Großmann

Recursive variational Gaussian approximation with the Whittle likelihood for linear non-Gaussian state space models

Bao Anh Vu, David Gunawan and Andrew Zammit-Mangion

Change-point detection for multivariate nonparametric regression with deep neural networks

Houlin Zhou, Hanbing Zhu and Xuejun Wang

Efficient subsampling for exponential family models

Subhadra Dasgupta and Holger Dette

Conditional independence test in factor models via projection correlation

Xilin Zhang, Hongxia Xu, Guoliang Fan and Liping Zhu

Copula-based mixtures of regression models for multivariate response data

Xuetong Cui, Orla A. Murphy and Paul D. McNicholas

Online and offline robust multivariate linear regression

Antoine Godichon-Baggioni, Stéphane Robin and Laure Sansonnet

Boosted sliced regression for dimension reduction in binary classification

Qin Wang and Edmund Osei

Likelihood inference in Gaussian copula models for count time series via minimax exponential tilting

Quynh Nhu Nguyen and Victor De Oliveira

Volume 217, issue C, 2026

Debiased quantile significance testing with machine learning methods

Jiarong Ding, Yanmei Shi, Niwen Zhou, Mei Yao and Xu Guo

Seasonal ARIMA models with a random period

Abdelhakim Aknouche, Stefanos Dimitrakopoulos and Nadia Rabehi

Multi-population sufficient dimension reduction

Xuerong Meggie Wen, Yuexiao Dong and Li-Xing Zhu

Random multiplication versus random sum: Autoregressive-like models with integer-valued random inputs

Abdelhakim Aknouche, Sónia Gouveia and Manuel G. Scotto

Nonparametric density estimation on complex domains using manifold-aware Bayesian additive tree models

Isaac Diaz-Ray, Huiyan Sang, Guanyu Hu and Ligang Lu

Expectile periodogram

Tianbo Chen, Ta-Hsin Li, Hanbing Zhu and Wenwu Gao

Volume 216, issue C, 2026

Sequential hierarchical Bayesian model and particle filter estimation with two-step RJMCMC resampling

Yue Huan, Guoqiang Wang and Hai Xiang Lin

A semi-parametric approach to receiver operating characteristic analysis with semi-continuous biomarker

Baohao Wei, Dongsheng Tu and Chunlin Wang

Parametric estimation of conditional archimedean copula generators for censored data

Marie Michaelides, Hélène Cossette and Mathieu Pigeon