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 172, issue C, 2022

Regular vines with strongly chordal pattern of (conditional) independence

Kailun Zhu and Dorota Kurowicka

A prior for record linkage based on allelic partitions

Brenda Betancourt, Juan Sosa and Abel Rodríguez

A robust deterministic affine-equivariant algorithm for multivariate location and scatter

Michael Pokojovy and J. Marcus Jobe

Extrapolation estimation in parametric regression models with measurement error

Kanwal Ayub, Weixing Song and Jianhong Shi

Flexible estimation of the state dwell-time distribution in hidden semi-Markov models

Jennifer Pohle, Timo Adam and Larissa T. Beumer

Multivariate ranks based on randomized lift-interdirections

Šárka Hudecová and Miroslav Šiman

Bayesian linear models for cardinal paired comparison data

Prince P. Osei and Ori Davidov

Variable selection for case-cohort studies with informatively interval-censored outcomes

Mingyue Du, Xingqiu Zhao and Jianguo Sun

An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework

Alvaro J. Flórez, Geert Molenberghs, Wim Van der Elst and Ariel Alonso Abad

Variable screening for varying coefficient models with ultrahigh-dimensional survival data

Lianqiang Qu, Xiaoyu Wang and Liuquan Sun

Volume 171, issue C, 2022

Construction of symmetric orthogonal designs with deep Q-network and orthogonal complementary design

Jianfa Lai, Lin-Chen Weng, Xiaoling Peng and Kai-Tai Fang

Hybrid maximum likelihood inference for stochastic block models

Maria Francesca Marino and Silvia Pandolfi

Multivariate cluster-weighted models based on seemingly unrelated linear regression

Cecilia Diani, Giuliano Galimberti and Gabriele Soffritti

Computing minimum-volume enclosing ellipsoids for large datasets

Samuel Rosa and Radoslav Harman

2-D Rayleigh autoregressive moving average model for SAR image modeling

Bruna G. Palm, Fábio M. Bayer and Renato J. Cintra

Group linear non-Gaussian component analysis with applications to neuroimaging

Yuxuan Zhao, David S. Matteson, Stewart H. Mostofsky, Mary Beth Nebel and Benjamin B. Risk

Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere

Kisung You and Changhee Suh

Asymptotic covariance estimation by Gaussian random perturbation

Jing Zhou, Wei Lan and Hansheng Wang

Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects

Roman Hornung and Anne-Laure Boulesteix

Network inference from temporally dependent grouped observations

Yunpeng Zhao

Robust estimation and regression with parametric quantile functions

Gianluca Sottile and Paolo Frumento

Generalized ordinal patterns allowing for ties and their applications in hydrology

Alexander Schnurr and Svenja Fischer

A generalized correlated Cp criterion for derivative estimation with dependent errors

Sisheng Liu and Xiaoli Kong

Volume 170, issue C, 2022

ℓ0-Regularized high-dimensional accelerated failure time model

Chao Cheng, Xingdong Feng, Jian Huang, Yuling Jiao and Shuang Zhang

A comparison of single and multiple changepoint techniques for time series data

Xuesheng Shi, Colin Gallagher, Robert Lund and Rebecca Killick

On the use of random forest for two-sample testing

Simon Hediger, Loris Michel and Jeffrey Näf

Nonparametric feature selection by random forests and deep neural networks

Xiaojun Mao, Liuhua Peng and Zhonglei Wang

A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data

James Murray and Pete Philipson

Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions

Anbin Rhee, Min-Sun Kwak and Keunbaik Lee

Bayesian spatio-temporal models for stream networks

Edgar Santos-Fernandez, Jay M. Ver Hoef, Erin E. Peterson, James McGree, Daniel J. Isaak and Kerrie Mengersen

Dealing with overdispersion in multivariate count data

Noemi Corsini and Cinzia Viroli

Volume 169, issue C, 2022

Estimation of semi-varying coefficient models for longitudinal data with irregular error structure

Yan-Yong Zhao, Jin-Guan Lin, Jian-Qiang Zhao and Zhang-Xiao Miao

Missing link survival analysis with applications to available pandemic data

María Luz Gámiz, Enno Mammen, María Dolores Martínez-Miranda and Jens Perch Nielsen

Variational Bayesian inference for network autoregression models

Wei-Ting Lai, Ray-Bing Chen, Ying Chen and Thorsten Koch

On MCMC sampling in self-exciting integer-valued threshold time series models

Kai Yang, Xinyang Yu, Qingqing Zhang and Xiaogang Dong

Test-inversion confidence intervals for estimands in contingency tables subject to equality constraints

Qiansheng Zhu and Joseph B. Lang

Multiclass-penalized logistic regression

Didier Nibbering and Trevor J. Hastie

Robust subset selection

Ryan Thompson

Approximate Bayesian conditional copulas

Clara Grazian, Luciana Dalla Valle and Brunero Liseo

Statistical inference for high-dimensional pathway analysis with multiple responses

Yang Liu, Wei Sun, Li Hsu and Qianchuan He

Distributed adaptive Huber regression

Jiyu Luo, Qiang Sun and Wen-Xin Zhou

Spatial two-stage designs for phase II clinical trials

Seongho Kim and Weng Kee Wong

Truncated estimation in functional generalized linear regression models

Xi Liu, Afshin A. Divani and Alexander Petersen

Computation of quantile sets for bivariate ordered data

Andreas H. Hamel and Daniel Kostner

Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation

Jérémie Bigot and Charles Deledalle

Kernel-based hidden Markov conditional densities

Jan G. Gooijer, Gustav Eje Henter and Ao Yuan

A latent space model for multilayer network data

Juan Sosa and Brenda Betancourt

Volume 168, issue C, 2022

Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation

Sébastien Coube-Sisqueille and Benoît Liquet

A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables

Miaomiao Su and Qihua Wang

Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap

Jie Liu and Huilin Ge

Surrogate space based dimension reduction for nonignorable nonresponse

Jianqiu Deng, Xiaojie Yang and Qihua Wang

Clustering multivariate functional data using unsupervised binary trees

Steven Golovkine, Nicolas Klutchnikoff and Valentin Patilea

Fourier transform sparse inverse regression estimators for sufficient variable selection

Jiaying Weng

Non-parametric analysis of serial dependence in time series using ordinal patterns

Christian H. Weiß, Manuel Ruiz Marin, Karsten Keller and Mariano Matilla-García

Correcting for sample selection bias in Bayesian distributional regression models

Paul F.V. Wiemann, Nadja Klein and Thomas Kneib

Confidence intervals for parameters in high-dimensional sparse vector autoregression

Ke Zhu and Hanzhong Liu

A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA

Jin-Ting Zhang and Tianming Zhu

Conditional generalized estimating equations of mean-variance-correlation for clustered data

Renwen Luo and Jianxin Pan

Statistical file-matching of non-Gaussian data: A game theoretic approach

Daniel Ahfock, Saumyadipta Pyne and Geoffrey J. McLachlan

Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space

Yue Wang, Yan Zhou, Rui Li and Heng Lian

Fusing sufficient dimension reduction with neural networks

Daniel Kapla, Lukas Fertl and Efstathia Bura

Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study

Kecheng Wei, Guoyou Qin, Jiajia Zhang and Xuemei Sui

Flexible quantile contour estimation for multivariate functional data: Beyond convexity

Gaurav Agarwal, Wei Tu, Ying Sun and Linglong Kong

Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes

Dawid Szarek, Katarzyna Maraj-Zygmąt, Grzegorz Sikora, Diego Krapf and Agnieszka Wyłomańska

Conditional independence test of failure and truncation times: Essential tool for method selection

Jing Ning, Daewoo Pak, Hong Zhu and Jing Qin

On a family of two–piece circular distributions

Jose Ameijeiras-Alonso, Irène Gijbels and Anneleen Verhasselt

An objective Bayes factor with improper priors

Cristiano Villa and Stephen G. Walker

Maximum likelihood estimation of diffusions by continuous time Markov chain

J.L. Kirkby, Dang H. Nguyen, Duy Nguyen and Nhu N. Nguyen

TA algorithms for D-optimal OofA Mixture designs

Nicholas Rios, Peter Winker and Dennis K.J. Lin

A likelihood-based boosting algorithm for factor analysis models with binary data

Michela Battauz and Paolo Vidoni