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Computational Statistics & Data Analysis
1983 - 2025
Current editor(s): S.P. Azen From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
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
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