Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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Volume 212, issue C, 2025

Bayesian forecasting of Italian seismicity using the spatiotemporal RETAS model

Tom Stindl, Zelong Bi and Clara Grazian

Privacy-preserving communication-efficient spectral clustering for distributed multiple networks

Shanghao Wu, Xiao Guo and Hai Zhang

Inference on a stochastic SIR model including growth curves

Giuseppina Albano, Virginia Giorno, Gema Pérez-Romero and Francisco de Asis Torres-Ruiz

Model-based clustering for covariance matrices via penalized Wishart mixture models

Andrea Cappozzo and Alessandro Casa

Bayesian selection approach for categorical responses via multinomial probit models

Chi-Hsiang Chu, Kuo-Jung Lee, Chien-Chin Hsu and Ray-Bing Chen

Joint estimation of precision matrices for long-memory time series

Qihu Zhang, Jongik Chung and Cheolwoo Park

Enhancing approximate modular Bayesian inference by emulating the conditional posterior

Grant Hutchings, Kellin N. Rumsey, Derek Bingham and Gabriel Huerta

A score-based threshold effect test in time series models

Shufang Wei, Yaping Deng and Yaxing Yang

Pure interaction effects unseen by Random Forests

Ricardo Blum, Munir Hiabu, Enno Mammen and Joseph T. Meyer

Variable selection for spatio-temporal conditionally Poisson point processes

Achmad Choiruddin, Jonatan A. González, Jorge Mateu, Alwan Fadlurohman and Rasmus Waagepetersen

High-dimensional response growth curve modeling for longitudinal neuroimaging analysis

Lu Wang, Xiang Lyu and Lexin Li

Simultaneously detecting spatiotemporal changes with penalized Poisson regression models

Zerui Zhang, Xin Wang, Xin Zhang and Jing Zhang

New tests for the identity and sphericity of high-dimensional covariance matrices via U-statistics

Xiaoge Xiong

High-dimensional and banded integer-valued autoregressive processes

Nuo Xu and Kai Yang

Conditional inference for ultrahigh-dimensional additive hazards model

Meiling Hao, Ruiyu Yang, Fangfang Bai and Liuquan Sun

Testing the equality of high dimensional distributions

Reza Modarres

Modeling continuous distributions in hybrid Bayesian networks using mixtures of polynomials with tails

J.C. Luengo, D. Ramos-López and R. Rumí

Kernel density estimation for compositional data with zeros via hypersphere mapping

Changwon Yoon, Hyunbin Choi and Jeongyoun Ahn

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