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Computational Statistics & Data Analysis

1983 - 2018

Current editor(s): S.P. Azen

From Elsevier
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Volume 126, issue C, 2018

A particle-learning-based approach to estimate the influence matrix of online social networks pp. 1-18 Downloads
Luis E. Castro and Nazrul I. Shaikh
Small area estimation under a spatially non-linear model pp. 19-38 Downloads
Hukum Chandra, Nicola Salvati and Ray Chambers
Sensible functional linear discriminant analysis pp. 39-52 Downloads
Lu-Hung Chen and Ci-Ren Jiang
Recalibration: A post-processing method for approximate Bayesian computation pp. 53-66 Downloads
G.S. Rodrigues, D. Prangle and S.A. Sisson
On sufficient dimension reduction with missing responses through estimating equations pp. 67-77 Downloads
Yuexiao Dong, Qi Xia, Cheng Yong Tang and Zeda Li
Balanced estimation for high-dimensional measurement error models pp. 78-91 Downloads
Zemin Zheng, Yang Li, Chongxiu Yu and Gaorong Li
Bayesian quantile regression using the skew exponential power distribution pp. 92-111 Downloads
Mauro Bernardi, Marco Bottone and Lea Petrella
An induced natural selection heuristic for finding optimal Bayesian experimental designs pp. 112-124 Downloads
David J. Price, Nigel G. Bean, Joshua V. Ross and Jonathan Tuke
Sparse pathway-based prediction models for high-throughput molecular data pp. 125-135 Downloads
Sangin Lee, Youngjo Lee and Yudi Pawitan
Bayesian inference on group differences in multivariate categorical data pp. 136-149 Downloads
Massimiliano Russo, Daniele Durante and Bruno Scarpa
A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing pp. 150-166 Downloads
Ryosuke Igari and Takahiro Hoshino

Volume 125, issue C, 2018

Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data pp. 1-9 Downloads
Shuying Wang, Chunjie Wang, Peijie Wang and Jianguo Sun
Robust template estimation for functional data with phase variability using band depth pp. 10-26 Downloads
Jason Cleveland, Weilong Zhao and Wei Wu
Continuum directions for supervised dimension reduction pp. 27-43 Downloads
Sungkyu Jung
Unsupervised learning of mixture regression models for longitudinal data pp. 44-56 Downloads
Peirong Xu, Heng Peng and Tao Huang
A scale space approach for exploring structure in spherical data pp. 57-69 Downloads
Ville Vuollo and Lasse Holmström
Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics pp. 70-85 Downloads
Md. Ashad Alam, Vince D. Calhoun and Yu-Ping Wang
Point process models for novelty detection on spatial point patterns and their extremes pp. 86-103 Downloads
Stijn E. Luca, Marco A.F. Pimentel, Peter J. Watkinson and David A. Clifton
On the sample mean after a group sequential trial pp. 104-118 Downloads
Ben Berckmoes, Anna Ivanova and Geert Molenberghs
Identification of local sparsity and variable selection for varying coefficient additive hazards models pp. 119-135 Downloads
Lianqiang Qu, Xinyuan Song and Liuquan Sun
Supervised dimension reduction for ordinal predictors pp. 136-155 Downloads
Liliana Forzani, Rodrigo García Arancibia, Pamela Llop and Diego Tomassi
Joint regression analysis of mixed-type outcome data via efficient scores pp. 156-170 Downloads
Scott Marchese and Guoqing Diao

Volume 124, issue C, 2018

Multivariate specification tests based on a dynamic Rosenblatt transform pp. 1-14 Downloads
Igor L. Kheifets
Testing the equality of several covariance functions for functional data: A supremum-norm based test pp. 15-26 Downloads
Jia Guo, Bu Zhou and Jin-Ting Zhang
On constrained estimation of graphical time series models pp. 27-52 Downloads
T.P. Yuen, H. Wong and K.F.C. Yiu
Semiparametric regression analysis of clustered survival data with semi-competing risks pp. 53-70 Downloads
Mengjiao Peng, Liming Xiang and Shanshan Wang
Multilevel rejection sampling for approximate Bayesian computation pp. 71-86 Downloads
David J. Warne, Ruth E. Baker and Matthew J. Simpson
A family of the information criteria using the phi-divergence for categorical data pp. 87-103 Downloads
Haruhiko Ogasawara
Penalized composite likelihoods for inhomogeneous Gibbs point process models pp. 104-116 Downloads
Jeffrey Daniel, Julie Horrocks and Gary J. Umphrey
Bootstrapping longitudinal data with multiple levels of variation pp. 117-131 Downloads
O’Shaughnessy, P.Y. and A.H. Welsh
Variable selection for high dimensional Gaussian copula regression model: An adaptive hypothesis testing procedure pp. 132-150 Downloads
Yong He, Xinsheng Zhang and Liwen Zhang
Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines pp. 151-167 Downloads
Oswaldo Gressani and Philippe Lambert
Response-adaptive treatment allocation for non-inferiority trials with heterogeneous variances pp. 168-179 Downloads
Wenfu Xu, Jingya Gao, Feifang Hu and Siu Hung Cheung
Sparse principal component regression for generalized linear models pp. 180-196 Downloads
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada and Toshihiko Shiroishi
Objective priors for the number of degrees of freedom of a multivariate t distribution and the t-copula pp. 197-219 Downloads
Cristiano Villa and Francisco J. Rubio
Overfitting Bayesian mixtures of factor analyzers with an unknown number of components pp. 220-234 Downloads
Panagiotis Papastamoulis
A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso pp. 235-251 Downloads
Xingjie Shi, Yuan Huang, Jian Huang and Shuangge Ma
Optimal projection of observations in a Bayesian setting pp. 252-276 Downloads
Loïc Giraldi, Olivier P. Le Maître, Ibrahim Hoteit and Omar M. Knio
Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology pp. 277-297 Downloads
Mahasen B. Dehideniya, Christopher C. Drovandi and James M. McGree

Volume 123, issue C, 2018

Depth-weighted Bayes classification pp. 1-12 Downloads
Ondrej Vencalek and Oleksii Pokotylo
Approximation error approach in spatiotemporally chaotic models with application to Kuramoto–Sivashinsky equation pp. 13-31 Downloads
J.M.J. Huttunen, J.P. Kaipio and H. Haario
Clustering sparse binary data with hierarchical Bayesian Bernoulli mixture model pp. 32-49 Downloads
Mao Ye, Peng Zhang and Lizhen Nie
Time-dynamic varying coefficient models for longitudinal data pp. 50-65 Downloads
Kyeongeun Lee, Young K. Lee, Byeong U. Park and Seong J. Yang
Compositional regression with functional response pp. 66-85 Downloads
R. Talská, A. Menafoglio, J. Machalová, K. Hron and E. Fišerová
Dealing with reciprocity in dynamic stochastic block models pp. 86-100 Downloads
Francesco Bartolucci, Maria Francesca Marino and Silvia Pandolfi
Model-based co-clustering for ordinal data pp. 101-115 Downloads
Julien Jacques and Christophe Biernacki
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields pp. 116-130 Downloads
Andrew Zammit-Mangion and Jonathan Rougier
Likelihood based inference for the multivariate renewal Hawkes process pp. 131-145 Downloads
Tom Stindl and Feng Chen
Semiparametric spatial model for interval-censored data with time-varying covariate effects pp. 146-156 Downloads
Yue Zhang and Bin Zhang

Volume 122, issue C, 2018

Optimal exact tests for multiple binary endpoints pp. 1-17 Downloads
Robin Ristl, Dong Xi, Ekkehard Glimm and Martin Posch
Fused mean–variance filter for feature screening pp. 18-32 Downloads
Xiaodong Yan, Niansheng Tang, Jinhan Xie, Xianwen Ding and Zhiqiang Wang
Model selection for time series of count data pp. 33-44 Downloads
Naif Alzahrani, Peter Neal, Simon E.F. Spencer, Trevelyan J. McKinley and Panayiota Touloupou
Flexible and efficient estimating equations for variogram estimation pp. 45-58 Downloads
Ying Sun, Xiaohui Chang and Yongtao Guan
Analysis of generalized semiparametric regression models for cumulative incidence functions with missing covariates pp. 59-79 Downloads
Unkyung Lee, Yanqing Sun, Thomas H. Scheike and Peter B. Gilbert
Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions pp. 80-91 Downloads
Long Feng and Lee H. Dicker
A simple and fast method for computing the Poisson binomial distribution function pp. 92-100 Downloads
William Biscarri, Sihai Dave Zhao and Robert J. Brunner
A joint design for functional data with application to scheduling ultrasound scans pp. 101-114 Downloads
So Young Park, Luo Xiao, Jayson D. Willbur, Ana-Maria Staicu and Jumbe, N. L’ntshotsholé
Bayesian inference for conditional copulas using Gaussian Process single index models pp. 115-134 Downloads
Evgeny Levi and Radu V. Craiu
Goodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example pp. 135-155 Downloads
Sebastian J. Teran Hidalgo, Michael C. Wu, Stephanie M. Engel and Michael R. Kosorok
Group testing case identification with biomarker information pp. 156-166 Downloads
Dewei Wang, Christopher S. McMahan, Joshua M. Tebbs and Christopher R. Bilder
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