Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

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Volume 127, issue C, 2018

Copula based generalized additive models for location, scale and shape with non-random sample selection pp. 1-14

Małgorzata Wojtyś, Giampiero Marra and Rosalba Radice

Testing for central symmetry and inference of the unknown center pp. 15-31

Xinjie Dai, Cuizhen Niu and Xu Guo

Time-varying quantile single-index model for multivariate responses pp. 32-49

Weihua Zhao, Yan Zhou and Heng Lian

Web-based statistical tools for the analysis and design of clinical trials that incorporate historical controls pp. 50-68

Nan Chen, Bradley P. Carlin and Brian P. Hobbs

Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism pp. 69-81

Huiqiong Li, Guoliang Tian, Niansheng Tang and Hongyuan Cao

Estimating large covariance matrix with network topology for high-dimensional biomedical data pp. 82-95

Shuo Chen, Jian Kang, Yishi Xing, Yunpeng Zhao and Donald K. Milton

Testing k-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population pp. 96-115

J. Giguelay and S. Huet

Inference for differential equation models using relaxation via dynamical systems pp. 116-134

Kyoungjae Lee, Jaeyong Lee and Sarat C. Dass

Matching and clustering in square contingency tables. Who matches with whom in the Spanish labour market pp. 135-159

Pablo Álvarez de Toledo, Fernando Núñez and Carlos Usabiaga

Addressing overfitting and underfitting in Gaussian model-based clustering pp. 160-171

Jeffrey L. Andrews

Bayesian non-parametric simultaneous quantile regression for complete and grid data pp. 172-186

Priyam Das and Subhashis Ghosal

Sequential Bayesian inference for static parameters in dynamic state space models pp. 187-203

Arnab Bhattacharya and Simon P. Wilson

Classification tree methods for panel data using wavelet-transformed time series pp. 204-216

Xin Zhao, Stuart Barber, Charles C. Taylor and Zoka Milan

Optimal designs for dose–response models with linear effects of covariates pp. 217-228

Jun Yu, Xiangshun Kong, Mingyao Ai and Kwok Leung Tsui

Robust and parallel Bayesian model selection pp. 229-247

Michael Minyi Zhang, Henry Lam and Lizhen Lin

Asymptotic null distribution of the modified likelihood ratio test for homogeneity in finite mixture models pp. 248-257

Tony S.T. Wong, Kwok Fai Lam and Victoria X. Zhao

Jackknife empirical likelihood method for multiply robust estimation with missing data pp. 258-268

Sixia Chen and David Haziza

A principal varying-coefficient model for quantile regression: Joint variable selection and dimension reduction pp. 269-280

Weihua Zhao, Xuejun Jiang and Heng Lian

Mode jumping MCMC for Bayesian variable selection in GLMM pp. 281-297

Aliaksandr Hubin and Geir Storvik

Wald-based spatial scan statistics for cluster detection pp. 298-310

Ying Liu, Yawen Liu and Tonglin Zhang

Volume 126, issue C, 2018

A particle-learning-based approach to estimate the influence matrix of online social networks pp. 1-18

Luis E. Castro and Nazrul I. Shaikh

Small area estimation under a spatially non-linear model pp. 19-38

Hukum Chandra, Nicola Salvati and Ray Chambers

Sensible functional linear discriminant analysis pp. 39-52

Lu-Hung Chen and Ci-Ren Jiang

Recalibration: A post-processing method for approximate Bayesian computation pp. 53-66

G.S. Rodrigues, D. Prangle and S.A. Sisson

On sufficient dimension reduction with missing responses through estimating equations pp. 67-77

Yuexiao Dong, Qi Xia, Cheng Yong Tang and Zeda Li

Balanced estimation for high-dimensional measurement error models pp. 78-91

Zemin Zheng, Yang Li, Chongxiu Yu and Gaorong Li

Bayesian quantile regression using the skew exponential power distribution pp. 92-111

Mauro Bernardi, Marco Bottone and Lea Petrella

An induced natural selection heuristic for finding optimal Bayesian experimental designs pp. 112-124

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

Sangin Lee, Youngjo Lee and Yudi Pawitan

Bayesian inference on group differences in multivariate categorical data pp. 136-149

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

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

Shuying Wang, Chunjie Wang, Peijie Wang and Jianguo Sun

Robust template estimation for functional data with phase variability using band depth pp. 10-26

Jason Cleveland, Weilong Zhao and Wei Wu

Continuum directions for supervised dimension reduction pp. 27-43

Sungkyu Jung

Unsupervised learning of mixture regression models for longitudinal data pp. 44-56

Peirong Xu, Heng Peng and Tao Huang

A scale space approach for exploring structure in spherical data pp. 57-69

Ville Vuollo and Lasse Holmström

Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics pp. 70-85

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

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

Ben Berckmoes, Anna Ivanova and Geert Molenberghs

Identification of local sparsity and variable selection for varying coefficient additive hazards models pp. 119-135

Lianqiang Qu, Xinyuan Song and Liuquan Sun

Supervised dimension reduction for ordinal predictors pp. 136-155

Liliana Forzani, Rodrigo García Arancibia, Pamela Llop and Diego Tomassi

Joint regression analysis of mixed-type outcome data via efficient scores pp. 156-170

Scott Marchese and Guoqing Diao

Volume 124, issue C, 2018

Multivariate specification tests based on a dynamic Rosenblatt transform pp. 1-14

Igor L. Kheifets

Testing the equality of several covariance functions for functional data: A supremum-norm based test pp. 15-26

Jia Guo, Bu Zhou and Jin-Ting Zhang

On constrained estimation of graphical time series models pp. 27-52

T.P. Yuen, H. Wong and K.F.C. Yiu

Semiparametric regression analysis of clustered survival data with semi-competing risks pp. 53-70

Mengjiao Peng, Liming Xiang and Shanshan Wang

Multilevel rejection sampling for approximate Bayesian computation pp. 71-86

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

Haruhiko Ogasawara

Penalized composite likelihoods for inhomogeneous Gibbs point process models pp. 104-116

Jeffrey Daniel, Julie Horrocks and Gary J. Umphrey

Bootstrapping longitudinal data with multiple levels of variation pp. 117-131

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

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

Oswaldo Gressani and Philippe Lambert

Response-adaptive treatment allocation for non-inferiority trials with heterogeneous variances pp. 168-179

Wenfu Xu, Jingya Gao, Feifang Hu and Siu Hung Cheung

Sparse principal component regression for generalized linear models pp. 180-196

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

Cristiano Villa and Francisco J. Rubio

Overfitting Bayesian mixtures of factor analyzers with an unknown number of components pp. 220-234

Panagiotis Papastamoulis

A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso pp. 235-251

Xingjie Shi, Yuan Huang, Jian Huang and Shuangge Ma

Optimal projection of observations in a Bayesian setting pp. 252-276

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

Mahasen B. Dehideniya, Christopher C. Drovandi and James M. McGree