Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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Volume 173, issue C, 2022

On the semi-varying coefficient dynamic panel data model with autocorrelated errors

Honglei Wei, Hongfan Zhang, Hui Jiang and Lei Huang

Varying-coefficient hidden Markov models with zero-effect regions

Hefei Liu, Xinyuan Song and Baoxue Zhang

Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations

Muye Nanshan, Nan Zhang, Xiaolei Xun and Jiguo Cao

A rank-based high-dimensional test for equality of mean vectors

Yanyan Ouyang, Jiamin Liu, Tiejun Tong and Wangli Xu

Mallows model averaging with effective model size in fragmentary data prediction

Chaoxia Yuan, Fang Fang and Lyu Ni

Marginal M-quantile regression for multivariate dependent data

Luca Merlo, Lea Petrella, Nicola Salvati and Nikos Tzavidis

Entropy-based test for generalised Gaussian distributions

Mehmet Siddik Cadirci, Dafydd Evans, Nikolai Leonenko and Vitalii Makogin

Bayesian multiresolution modeling of georeferenced data: An extension of ‘LatticeKrig’

John Paige, Geir-Arne Fuglstad, Andrea Riebler and Jon Wakefield

Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data

Yingli Pan

A two-stage optimal subsampling estimation for missing data problems with large-scale data

Miaomiao Su, Ruoyu Wang and Qihua Wang

Stochastic representation of FGM copulas using multivariate Bernoulli random variables

Christopher Blier-Wong, Hélène Cossette and Etienne Marceau

Thresholding tests based on affine LASSO to achieve non-asymptotic nominal level and high power under sparse and dense alternatives in high dimension

Sylvain Sardy, Jairo Diaz-Rodriguez and Caroline Giacobino

Safe sample screening rules for multicategory angle-based support vector machines

Yiwei Fan and Junlong Zhao

Log-regularly varying scale mixture of normals for robust regression

Yasuyuki Hamura, Kaoru Irie and Shonosuke Sugasawa

Local and global topics in text modeling of web pages nested in web sites

Jason Wang and Robert E. Weiss

Joint non-parametric estimation of mean and auto-covariances for Gaussian processes

Tatyana Krivobokova, Paulo Serra, Francisco Rosales and Karolina Klockmann

Complexity reduction and approximation of multidomain systems of partially ordered data

Alberto Arcagni, Alessandro Avellone and Marco Fattore

Clustering, multicollinearity, and singular vectors

Hamid Usefi

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