Computational Statistics & Data Analysis

1983 - 2022

Current editor(s): S.P. Azen

From Elsevier
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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

Volume 164, issue C, 2021

Projection-averaging-based cumulative covariance and its use in goodness-of-fit testing for single-index models

Kai Xu and Yeqing Zhou

Graph informed sliced inverse regression

Eugen Pircalabelu and Andreas Artemiou

Equivalence class selection of categorical graphical models

Federico Castelletti and Stefano Peluso

On efficient exact experimental designs for ordered treatments

Satya Prakash Singh and Ori Davidov

Semiparametric least-squares regression with doubly-censored data

Taehwa Choi, Arlene K.H. Kim and Sangbum Choi

Correlation for tree-shaped datasets and its Bayesian estimation

Shanjun Mao, Xiaodan Fan and Jie Hu

Outlier detection in networks with missing links

Solenne Gaucher, Olga Klopp and Geneviève Robin

A more powerful test of equality of high-dimensional two-sample means

Huaiyu Zhang and Haiyan Wang

Inference for partially observed epidemic dynamics guided by Kalman filtering techniques

Romain Narci, Maud Delattre, Catherine Larédo and Elisabeta Vergu

Volume 163, issue C, 2021

Two-sample high dimensional mean test based on prepivots

Santu Ghosh, Deepak Nag Ayyala and Rafael Hellebuyck

Feature filter for estimating central mean subspace and its sparse solution

Pei Wang, Xiangrong Yin, Qingcong Yuan and Richard Kryscio

Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: An application to task-based fMRI data analysis

Johnatan Cardona Jiménez and Carlos A. de B. Pereira

Multimodal Bayesian registration of noisy functions using Hamiltonian Monte Carlo

J. Derek Tucker, Lyndsay Shand and Kenny Chowdhary

Categorical CVA biplots

D.T. Rodwell, Carel van der Merwe and S. Gardner-Lubbe

Active set algorithms for estimating shape-constrained density ratios

Lutz Dümbgen, Alexandre Mösching and Christof Strähl

Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies

Xiaoke Zhang, Wu Xue and Qiyue Wang

Volume 162, issue C, 2021

Bayesian subgroup analysis in regression using mixture models

Yunju Im and Aixin Tan

A motif building process for simulating random networks

Alan M. Polansky and Paramahansa Pramanik

Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects

Marco A.R. Ferreira, Erica M. Porter and Christopher T. Franck

Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data

Feifei Wang, Yingqiu Zhu, Danyang Huang, Haobo Qi and Hansheng Wang

Fitting jump additive models

Yicheng Kang, Yueyong Shi, Yuling Jiao, Wendong Li and Dongdong Xiang

Fast multivariate empirical cumulative distribution function with connection to kernel density estimation

Nicolas Langrené and Xavier Warin

Assessing the effective sample size for large spatial datasets: A block likelihood approach

Jonathan Acosta, Alfredo Alegría, Felipe Osorio and Ronny Vallejos