Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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Volume 211, issue C, 2025

A simultaneous confidence-bounded true discovery proportion perspective on localizing differences in smooth terms in regression models

David Swanson

Heavy-tailed matrix-variate hidden Markov models

Salvatore D. Tomarchio

Statistical inference for partially shape-constrained function-on-scalar linear regression models

Kyunghee Han, Yeonjoo Park and Soo-Young Kim

Monotone composite quantile regression neural network for censored data with a cure fraction

Xinran Zhang, Xiaohui Yuan, Chunjie Wang and Xinyuan Song

Quantile Super Learning for independent and online settings with application to solar power forecasting

Herbert Susmann and Antoine Chambaz

Distributed variable screening for generalized linear models

Tianbo Diao, Bo Li, Lianqiang Qu and Liuquan Sun

A Dirichlet stochastic block model for composition-weighted networks

Iuliia Promskaia, Adrian O'Hagan and Michael Fop

Adaptive-to-sub-null testing for mediation effects in structural equation models

Jiaqi Huang, Chuyun Ye and Lixing Zhu

Penalized maximum likelihood estimation with nonparametric Gaussian scale mixture errors

Seo-Young Park and Byungtae Seo

Exact statistical analysis for response-adaptive clinical trials: A general and computationally tractable approach

Stef Baas, Peter Jacko and Sofía S. Villar

A Frisch-Waugh-Lovell theorem for empirical likelihood

Yichun Song

Small area prediction of counts under machine learning-type mixed models

Nicolas Frink and Timo Schmid

Region detection and image clustering via sparse Kronecker product decomposition

Guang Yang and Long Feng

Distributed iterative hard thresholding for variable selection in Tobit models

Changxin Yang, Zhongyi Zhu, Hongmei Lin, Zengyan Fan and Heng Lian

JANE: Just Another latent space NEtwork clustering algorithm

Alan T. Arakkal and Daniel K. Sewell

Flexible modeling of left-truncated and interval-censored competing risks data with missing event types

Yichen Lou, Yuqing Ma, Liming Xiang and Jianguo Sun

Volume 210, issue C, 2025

A flexible mixed-membership model for community and enterotype detection for microbiome data

Alice Giampino, Roberto Ascari and Sonia Migliorati

Co-clustering multi-view data using the Latent Block Model

Joshua Tobin, Michaela Black, James Ng, Debbie Rankin, Jonathan Wallace, Catherine Hughes, Leane Hoey, Adrian Moore, Jinling Wang, Geraldine Horigan, Paul Carlin, Helene McNulty, Anne M. Molloy and Mimi Zhang

Non-parametric tests for cross-dependence based on multivariate extensions of ordinal patterns

Angelika Silbernagel, Christian H. Weiß and Alexander Schnurr

A goodness-of-fit test for geometric Brownian motion

Daniel Gaigall and Philipp Wübbolding

Latent-class trajectory modeling with a heterogeneous mean-variance relation

Niek G.P. Den Teuling, Francesco Ungolo, Steffen C. Pauws and Edwin R. van den Heuvel

Volume 209, issue C, 2025

Manifold-valued models for analysis of EEG time series data

Tao Ding, Tom M.W. Nye and Yujiang Wang

Functional nonlinear principal component analysis

Qingzhi Zhong and Xinyuan Song

A deflation-adjusted Bayesian information criterion for selecting the number of clusters in K-means clustering

Masao Ueki

Hidden semi-Markov models with inhomogeneous state dwell-time distributions

Jan-Ole Koslik

Model-based edge clustering for weighted networks with a noise component

Haomin Li and Daniel K. Sewell

Selecting time-series hyperparameters with the artificial jackknife

Filippo Pellegrino

Discretization: Privacy-preserving data publishing for causal discovery

Youngmin Ahn, Woongjoon Park and Gunwoong Park

Multiply robust estimation of causal effects using linked data

Shanshan Luo, Yechi Zhang, Wei Li and Zhi Geng

Linear covariance selection model via ℓ1-penalization

Kwan-Young Bak and Seongoh Park

A multiple imputation approach for flexible modelling of interval-censored data with missing and censored covariates

Yichen Lou, Yuqing Ma, Liming Xiang and Jianguo Sun

Efficient regularized estimation of graphical proportional hazards model with interval-censored data

Huimin Lu, Yilong Wang, Heming Bing, Shuying Wang and Niya Li

Sparse factor analysis for categorical data with the group-sparse generalized singular value decomposition

Ju-Chi Yu, Julie Le Borgne, Anjali Krishnan, Arnaud Gloaguen, Cheng-Ta Yang, Laura A. Rabin, Hervé Abdi and Vincent Guillemot

Eliciting prior information from clinical trials via calibrated Bayes factor

Roberto Macrì Demartino, Leonardo Egidi, Nicola Torelli and Ioannis Ntzoufras

Volume 208, issue C, 2025

Testing the constancy of the variance for time series with a trend

Lei Jin, Li Cai and Suojin Wang

Communication-efficient estimation and inference for high-dimensional longitudinal data

Xing Li, Yanjing Peng and Lei Wang

An accurate computational approach for partial likelihood using Poisson-binomial distributions

Youngjin Cho, Yili Hong and Pang Du

Exact designs for order-of-addition experiments under a transition-effect model

Jiayi Zheng and Nicholas Rios

Regression analysis of elliptically symmetric directional data

Zehao Yu and Xianzheng Huang

Volume 207, issue C, 2025

Functional time transformation model with applications to digital health

Rahul Ghosal, Marcos Matabuena and Sujit K. Ghosh

Efficient computation of sparse and robust maximum association estimators

Pia Pfeiffer, Andreas Alfons and Peter Filzmoser

Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation

Henri Pesonen and Jukka Corander

Confidence intervals for tree-structured varying coefficients

Nikolai Spuck, Matthias Schmid, Malte Monin and Moritz Berger

Differentially private estimation of weighted average treatment effects for binary outcomes

Sharmistha Guha and Jerome P. Reiter

Efficient sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm

Alexander C. McLain, Anja Zgodic and Howard Bondell

Volume 206, issue C, 2025

Mean shift-based clustering for misaligned functional data

Andrew Welbaum and Wanli Qiao

Bayesian functional graphical models with change-point detection

Chunshan Liu, Daniel R. Kowal, James Doss-Gollin and Marina Vannucci

An efficient and distribution-free symmetry test for high-dimensional data based on energy statistics and random projections

Bo Chen, Feifei Chen, Junxin Wang and Tao Qiu

Component selection and variable selection for mixture regression models

Xuefei Qi, Xingbai Xu, Zhenghui Feng and Heng Peng

Sparse vertex discriminant analysis: Variable selection for biomedical classification applications

Alfonso Landeros, Seyoon Ko, Jack Z. Chang, Tong Tong Wu and Kenneth Lange

Robust generalized canonical correlation analysis based on scatter matrices

Nadia L. Kudraszow, Alejandra V. Vahnovan, Julieta Ferrario and M. Victoria Fasano

Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression

Lingnan Tai, Li Tao, Jianxin Pan, Man-lai Tang, Keming Yu, Wolfgang Karl Härdle and Maozai Tian

Extremal local linear quantile regression for nonlinear dependent processes

Fengyang He and Huixia Judy Wang

Heterogeneity-aware transfer learning for high-dimensional linear regression models

Yanjin Peng and Lei Wang

A Markov model for estimating the cost-effectiveness of immunotherapy for newly diagnosed multiple myeloma patients

Massimo Bilancia, Antonio Giovanni Solimando, Fabio Manca, Angelo Vacca and Roberto Ria

Quantile feature screening for infinite dimensional data under FDR control

Zhentao Tian and Zhongzhan Zhang