Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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Volume 201, issue C, 2025

Optimal splitk-plot designs

Mathias Born and Peter Goos

Test for the mean of high-dimensional functional time series

Lin Yang, Zhenghui Feng and Qing Jiang

Minimax rates of convergence for sliced inverse regression with differential privacy

Wenbiao Zhao, Xuehu Zhu and Lixing Zhu

Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix

Tak-Shing T. Chan and Alex Gibberd

On the use of the cumulant generating function for inference on time series

A. Moor, D. La Vecchia and E. Ronchetti

Volume 200, issue C, 2024

Pinball boosting of regression quantiles

Ida Bauer, Harry Haupt and Stefan Linner

Hierarchical Bayesian spectral regression with shape constraints for multi-group data

Peter Lenk, Jangwon Lee, Dongu Han, Jichan Park and Taeryon Choi

Volume 199, issue C, 2024

Conditional mean dimension reduction for tensor time series

Chung Eun Lee and Xin Zhang

A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model

Xuan Ma, Jenný Brynjarsdóttir and Thomas LaFramboise

A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series

Yixuan Liu, Claudia Kirch, Jeong Eun Lee and Renate Meyer

An embedded diachronic sense change model with a case study from ancient Greek

Schyan Zafar and Geoff K. Nicholls

Bayesian modal regression based on mixture distributions

Qingyang Liu, Xianzheng Huang and Ray Bai

Multivariate ordinal regression for multiple repeated measurements

Laura Vana-Gür

Bootstrap-based statistical inference for linear mixed effects under misspecifications

Katarzyna Reluga, María-José Lombardía and Stefan Sperlich

Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease

Joakim Nyberg, Andrew C. Hooker, Georg Zimmermann, Johan Verbeeck, Martin Geroldinger, Konstantin Emil Thiel, Geert Molenberghs, Martin Laimer and Verena Wally

Three-way data clustering based on the mean-mixture of matrix-variate normal distributions

Mehrdad Naderi, Mostafa Tamandi, Elham Mirfarah, Wan-Lun Wang and Tsung-I Lin

Modelling non-stationarity in asymptotically independent extremes

C.J.R. Murphy-Barltrop and J.L. Wadsworth

Tests for high-dimensional generalized linear models under general covariance structure

Weichao Yang, Xu Guo and Lixing Zhu

Volume 198, issue C, 2024

Spectral co-clustering in multi-layer directed networks

Wenqing Su, Xiao Guo, Xiangyu Chang and Ying Yang

Principal component analysis for zero-inflated compositional data

Kipoong Kim, Jaesung Park and Sungkyu Jung

A conditional approach for regression analysis of case K interval-censored failure time data with informative censoring

Mingyue Du and Xingqiu Zhao

Consistent skinny Gibbs in probit regression

Jiarong Ouyang and Xuan Cao

Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes

Sam Efromovich and Lirit Fuksman

Medoid splits for efficient random forests in metric spaces

Matthieu Bulté and Helle Sørensen

Latent event history models for quasi-reaction systems

Matteo Framba, Veronica Vinciotti and Ernst C. Wit

Inference for high-dimensional linear expectile regression with de-biasing method

Xiang Li, Yu-Ning Li, Li-Xin Zhang and Jun Zhao

Strong orthogonal Latin hypercubes for computer experiments

Chunyan Wang and Dennis K.J. Lin

Nonnegative GARCH-type models with conditional Gamma distributions and their applications

Eunju Hwang and ChanHyeok Jeon

Volume 197, issue C, 2024

CR-Lasso: Robust cellwise regularized sparse regression

Peng Su, Garth Tarr, Samuel Muller and Suojin Wang

FDR control for linear log-contrast models with high-dimensional compositional covariates

Panxu Yuan, Changhan Jin and Gaorong Li

Bayesian simultaneous factorization and prediction using multi-omic data

Sarah Samorodnitsky, Chris H. Wendt and Eric F. Lock

Transfer learning via random forests: A one-shot federated approach

Pengcheng Xiang, Ling Zhou and Lu Tang

Empirical Bayes Poisson matrix completion

Xiao Li, Takeru Matsuda and Fumiyasu Komaki

A switching state-space transmission model for tracking epidemics and assessing interventions

Jingxue Feng and Liangliang Wang

Rank-based sequential feature selection for high-dimensional accelerated failure time models with main and interaction effects

Ke Yu and Shan Luo

Goodness–of–fit tests based on the min–characteristic function

S.G. Meintanis, B. Milošević and Jiménez–Gamero, M.D.

Gibbs sampler approach for objective Bayesian inference in elliptical multivariate meta-analysis random effects model

Olha Bodnar and Taras Bodnar

Online bootstrap inference for the geometric median

Guanghui Cheng, Qiang Xiong and Ruitao Lin

Volume 196, issue C, 2024

Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler

Jiayu Qian, Yuanyuan Liu, Jingya Yang and Qingping Zhou

A mixture of logistic skew-normal multinomial models

Wangshu Tu, Ryan Browne and Sanjeena Subedi

Variable selection in Bayesian multiple instance regression using shotgun stochastic search

Seongoh Park, Joungyoun Kim, Xinlei Wang and Johan Lim

Sufficient dimension reduction for a novel class of zero-inflated graphical models

Eric Koplin, Liliana Forzani, Diego Tomassi and Ruth M. Pfeiffer

Variable selection using data splitting and projection for principal fitted component models in high dimension

Seungchul Baek, Park Hoyoung and Junyong Park

Bayesian taut splines for estimating the number of modes

José E. Chacón and Javier Fernández Serrano

Heterogeneous Treatment Effect-based Random Forest: HTERF

Bérénice-Alexia Jocteur, Véronique Maume-Deschamps and Pierre Ribereau

Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates

Sylvain Barde

Volume 195, issue C, 2024

Variable selection of Kolmogorov-Smirnov maximization with a penalized surrogate loss

Xiefang Lin and Fang Fang

Pairwise share ratio interpretations of compositional regression models

Lukas Dargel and Christine Thomas-Agnan

A semiparametric model for the cause-specific hazard under risk proportionality

Simon Lo, Ralf Wilke and Takeshi Emura

A new algorithm for inference in HMM's with lower span complexity

Diogo Pereira, Cláudia Nunes and Rui Rodrigues

Multi-task learning regression via convex clustering

Akira Okazaki and Shuichi Kawano

Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model

Wenting Liu, Huiqiong Li, Niansheng Tang and Jun Lyu

Semiparametric accelerated failure time models under unspecified random effect distributions

Byungtae Seo and Il Do Ha