Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

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Volume 74, issue C, 2014

Wald-type rank tests: A GEE approach pp. 1-16

Chunpeng Fan and Donghui Zhang

Improving mixture tree construction using better EM algorithms pp. 17-25

Chen, Shu-Chuan (Grace) and Bruce Lindsay

A high-dimensional two-sample test for the mean using random subspaces pp. 26-38

Måns Thulin

Sample size determination for paired right-censored data based on the difference of Kaplan–Meier estimates pp. 39-51

Pei-Fang Su, Chung-I Li and Yu Shyr

Analysis of multivariate survival data with Clayton regression models under conditional and marginal formulations pp. 52-63

W. He

A dynamic linear model with extended skew-normal for the initial distribution of the state parameter pp. 64-80

Celso Rômulo Barbosa Cabral, Cibele Queiroz da-Silva and Helio S. Migon

Fast balanced sampling for highly stratified population pp. 81-94

Caren Hasler and Yves Tillé

TVICA—Time varying independent component analysis and its application to financial data pp. 95-109

Ray-Bing Chen, Ying Chen and Wolfgang K. Härdle

Improved likelihood inference in generalized linear models pp. 110-124

Tiago M. Vargas, Silvia L.P. Ferrari and Artur J. Lemonte

Spatial prediction in the presence of left-censoring pp. 125-141

Lina Schelin and Sara Sjöstedt-de Luna

On the maximum penalized likelihood approach for proportional hazard models with right censored survival data pp. 142-156

Jun Ma, Stephane Heritier and Serigne N. Lô

Dimension reduction in principal component analysis for trees pp. 157-179

Carlos A. Alfaro, Burcu Aydın, Carlos E. Valencia, Elizabeth Bullitt and Alim Ladha

Learning algorithms may perform worse with increasing training set size: Algorithm–data incompatibility pp. 181-197

Waleed A. Yousef and Subrata Kundu

Bayesian semiparametric model for spatially correlated interval-censored survival data pp. 198-208

Chun Pan, Bo Cai, Lianming Wang and Xiaoyan Lin

Least squares estimation of a k-monotone density function pp. 209-216

Chew-Seng Chee and Yong Wang

Sample size calculation for the proportional hazards model with a time-dependent covariate pp. 217-227

Songfeng Wang, Jiajia Zhang and Wenbin Lu

Volume 73, issue C, 2014

Exploratory time varying lagged regression: Modeling association of cognitive and functional trajectories with expected clinic visits in older adults pp. 1-15

Damla Şentürk, Samiran Ghosh and Danh V. Nguyen

Eliminating bias due to censoring in Kendall’s tau estimators for quasi-independence of truncation and failure pp. 16-26

Matthew D. Austin and Rebecca A. Betensky

A non-parametric method to estimate the number of clusters pp. 27-39

André Fujita, Daniel Y. Takahashi and Alexandre G. Patriota

Efficient optimization of the likelihood function in Gaussian process modelling pp. 40-52

A. Butler, R.D. Haynes, T.D. Humphries and P. Ranjan

Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data pp. 53-68

Mustapha Rachdi, Ali Laksaci, Jacques Demongeot, Abdel Abdali and Fethi Madani

Asymptotic distributions for quasi-efficient estimators in echelon VARMA models pp. 69-86

Jean-Marie Dufour and Tarek Jouini

Efficient estimation of the link function parameter in a robust Bayesian binary regression model pp. 87-102

Vivekananda Roy

Nonparametric tests for panel count data with unequal observation processes pp. 103-111

Yang Li, Hui Zhao, Jianguo Sun and KyungMann Kim

Confidence intervals for quantiles in finite populations with randomized nomination sampling pp. 112-128

Mohammad Nourmohammadi, Mohammad Jafari Jozani and Brad C. Johnson

Asymptotic distribution of the EPMS estimator for financial derivatives pricing pp. 129-145

Shih-Feng Huang and Ya-Ting Tu

Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects pp. 146-162

Andrew T. Karl, Yan Yang and Sharon L. Lohr

Mean field variational Bayesian inference for support vector machine classification pp. 163-176

Jan Luts and John T. Ormerod

A Bayesian semiparametric regression model for reliability data using effective age pp. 177-188

Li Li and Timothy E. Hanson

Modelling trends in road accident frequency— Bayesian inference for rates with uncertain exposure pp. 189-204

Louise K. Lloyd and Jonathan J. Forster

Volume 72, issue C, 2014

Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs pp. 1-12

Hengzhen Huang, Jinyu Yang and Min-Qian Liu

Unimodal density estimation using Bernstein polynomials pp. 13-29

Bradley C. Turnbull and Sujit K. Ghosh

Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction pp. 30-44

Mathieu Bonneau, Sabrina Gaba, Nathalie Peyrard and Régis Sabbadin

Testing constancy in monotone response models pp. 45-56

Ana Colubi, J. Santos Domínguez-Menchero and Gil González-Rodríguez

Nonparametric kernel density estimation near the boundary pp. 57-76

Peter Malec and Melanie Schienle

Inference for longitudinal data with nonignorable nonmonotone missing responses pp. 77-91

Sanjoy K. Sinha, Amit Kaushal and Wenzhong Xiao

Recursive partitioning for missing data imputation in the presence of interaction effects pp. 92-104

L.L. Doove, S. Van Buuren and E. Dusseldorp

Time-efficient estimation of conditional mutual information for variable selection in classification pp. 105-127

Diman Todorov and Rossi Setchi

Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation pp. 128-146

Christopher C. Drovandi, Anthony N. Pettitt, Robert D. Henderson and Pamela A. McCombe

Bayesian test on equality of score parameters in the order restricted RC association model pp. 147-157

Man-Suk Oh

Nonparametric variable selection and classification: The CATCH algorithm pp. 158-175

Shijie Tang, Lisha Chen, Kam-Wah Tsui and Kjell Doksum

An ExPosition of multivariate analysis with the singular value decomposition in R pp. 176-189

Derek Beaton, Cherise R. Chin Fatt and Hervé Abdi

Nonparametric estimation of the tree structure of a nested Archimedean copula pp. 190-204

Johan Segers and Nathan Uyttendaele

Automated learning of factor analysis with complete and incomplete data pp. 205-218

Jianhua Zhao and Lei Shi

Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases pp. 219-226

Jessica M. Franklin, Sebastian Schneeweiss, Jennifer M. Polinski and Jeremy A. Rassen

Approximate inference for spatial functional data on massively parallel processors pp. 227-240

Lars Lau Rakêt and Bo Markussen

Power and sample size calculations for Poisson and zero-inflated Poisson regression models pp. 241-251

Nabil Channouf, Marc Fredette and Brenda MacGibbon

Sequential Monte Carlo EM for multivariate probit models pp. 252-272

Giusi Moffa and Jack Kuipers

The jackknife’s edge: Inference for censored regression quantiles pp. 273-281

Stephen Portnoy

Discrete particle swarm optimization for constructing uniform design on irregular regions pp. 282-297

Ray-Bing Chen, Yen-Wen Hsu, Ying Hung and Weichung Wang

A generalized multiple-try version of the Reversible Jump algorithm pp. 298-314

Silvia Pandolfi, Francesco Bartolucci and Nial Friel

Covariance structure regularization via entropy loss function pp. 315-327

Lijing Lin, Nicholas J. Higham and Jianxin Pan