Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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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

Volume 167, issue C, 2022

Bayesian beta regression for bounded responses with unknown supports

Haiming Zhou and Xianzheng Huang

Inference for monotone single-index conditional means: A Lorenz regression approach

Cédric Heuchenne and Alexandre Jacquemain

Dimension reduction for block-missing data based on sparse sliced inverse regression

Zhen Xiao and Qi Zhang

Hierarchical Bayesian modeling of spatio-temporal area-interaction processes

Jiaxun Chen, Athanasios C. Micheas and Scott H. Holan

Selective inference for additive and linear mixed models

David Rügamer, Philipp F.M. Baumann and Sonja Greven

Model averaging for linear mixed models via augmented Lagrangian

René-Marcel Kruse, Alexander Silbersdorff and Benjamin Säfken

A group comparison in fMRI data using a semiparametric model under shape invariance

Arunava Samaddar, Brooke S. Jackson, Christopher J. Helms, Nicole A. Lazar, Jennifer E. McDowell and Cheolwoo Park

Parameter estimation and computation of the Fisher information matrix for functions of phase type random variables

Celeste R. Pavithra and T.G. Deepak

Oracle-efficient estimation for functional data error distribution with simultaneous confidence band

Jiangyan Wang, Lijie Gu and Lijian Yang

Polymatching algorithm in observational studies with multiple treatment groups

Giovanni Nattino, Chi Song and Bo Lu

Mixture additive hazards cure model with latent variables: Application to corporate default data

Qi Yang, Haijin He, Bin Lu and Xinyuan Song

Efficient unequal probability resampling from finite populations

Pier Luigi Conti, Fulvia Mecatti and Federica Nicolussi

A study of longitudinal trends in time-frequency transformations of EEG data during a learning experiment

Joanna Boland, Donatello Telesca, Catherine Sugar, Shafali Jeste, Cameron Goldbeck and Damla Senturk

Projection quantile correlation and its use in high-dimensional grouped variable screening

Jicai Liu, Yuefeng Si, Yong Niu and Riquan Zhang

K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means

Camille Brunet-Saumard, Edouard Genetay and Adrien Saumard

Fast selection of nonlinear mixed effect models using penalized likelihood

Edouard Ollier

Adaptive quantile computation for Brownian bridge in change-point analysis

Jürgen Franke, Mario Hefter, André Herzwurm, Klaus Ritter and Stefanie Schwaar

Uncertainty quantification for honest regression trees

Suofei Wu, Jan Hannig and Thomas C.M. Lee

A Wilcoxon-Mann-Whitney spatial scan statistic for functional data

Zaineb Smida, Lionel Cucala, Ali Gannoun and Ghislain Durif

The general goodness-of-fit tests for correlated data

Hong Zhang and Zheyang Wu

Volume 166, issue C, 2022

Bayesian inference for generalized linear model with linear inequality constraints

Rahul Ghosal and Sujit K. Ghosh

Model-based sparse coding beyond Gaussian independent model

Xin Xing, Rui Xie and Wenxuan Zhong

Joint estimation of monotone curves via functional principal component analysis

Yei Eun Shin, Lan Zhou and Yu Ding

On principal graphical models with application to gene network

Kyongwon Kim

Local logarithm partial likelihood estimation of panel count data model with an unknown link function

Yijun Wang, Weiwei Wang and Xiaobing Zhao

Volume 165, issue C, 2022

Robust regression with compositional covariates

Aditya Mishra and Christian L. Müller

Optimal designs for order-of-addition experiments

Yuna Zhao, Dennis K.J. Lin and Min-Qian Liu

Bootstrapping multivariate portmanteau tests for vector autoregressive models with weak assumptions on errors

Muyi Li and Yanfen Zhang

Deep learning for quantile regression under right censoring: DeepQuantreg

Yichen Jia and Jong-Hyeon Jeong

A new classification tree method with interaction detection capability

Ahhyoun Kim and Hyunjoong Kim

Bayesian model selection for high-dimensional Ising models, with applications to educational data

Jaewoo Park, Ick Hoon Jin and Michael Schweinberger

Power analysis and type I and type II error rates of Bayesian nonparametric two-sample tests for location-shifts based on the Bayes factor under Cauchy priors

Riko Kelter