Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

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Volume 112, issue C, 2017

Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior pp. 1-13

Kyu Ha Lee, Sounak Chakraborty and Jianguo Sun

A finite mixture of multiple discrete distributions for modelling heaped count data pp. 14-23

Lluís Bermúdez, Dimitris Karlis and Miguel Santolino

Some copula inference procedures adapted to the presence of ties pp. 24-41

Ivan Kojadinovic

An optimal data ordering scheme for Dirichlet process mixture models pp. 42-52

Xue Wang and Stephen G. Walker

A Bayesian method for risk window estimation with application to HPV vaccine trial pp. 53-62

Tian Fang, William Mackillop, Wenyu Jiang, Allan Hildesheim, Sholom Wacholder and Bingshu E. Chen

Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework pp. 63-79

Jane Y. Nancy, Nehemiah H. Khanna and Kannan Arputharaj

Fitting parabolas in noisy images pp. 80-87

Luis A. García-Escudero, Agustín Mayo-Iscar and Clara I. Sánchez-Gutiérrez

LogitBoost autoregressive networks pp. 88-98

Marc Goessling

Bivariate copula additive models for location, scale and shape pp. 99-113

Giampiero Marra and Rosalba Radice

Estimation and hypothesis test on partial linear models with additive distortion measurement errors pp. 114-128

Jun Zhang, Yan Zhou, Bingqing Lin and Yao Yu

A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data pp. 129-144

Jing Lv, Chaohui Guo, Hu Yang and Yalian Li

Analysis of binary longitudinal data with time-varying effects pp. 145-153

Seonghyun Jeong, Minjae Park and Taeyoung Park

The generalized moment estimation of the additive–multiplicative hazard model with auxiliary survival information pp. 154-169

Wenpeng Shang and Xiao Wang

Bayesian variable selection for a semi-competing risks model with three hazard functions pp. 170-185

Andrew G. Chapple, Marina Vannucci, Peter F. Thall and Steven Lin

Analysis of a fixed center effect additive rates model for recurrent event data pp. 186-197

Haijin He, Deng Pan, Liuquan Sun, Yimei Li, Leslie L. Robison and Xinyuan Song

A quantitative comparison of stochastic mortality models on Italian population data pp. 198-214

M.F. Carfora, L. Cutillo and A. Orlando

Competing risk model with bivariate random effects for clustered survival data pp. 215-223

Xin Lai, Kelvin K.W. Yau and Liu Liu

Sieve maximum likelihood estimation for the proportional hazards model under informative censoring pp. 224-234

Xuerong Chen, Tao Hu and Jianguo Sun

Transformed contribution ratio test for the number of factors in static approximate factor models pp. 235-241

Qiang Xia, Rubing Liang and Jianhong Wu

Simultaneous dimension reduction and variable selection in modeling high dimensional data pp. 242-256

Joseph Ryan G. Lansangan and Erniel Barrios

Estimation of population proportion for judgment post-stratification pp. 257-269

Ehsan Zamanzade and Xinlei Wang

Volume 111, issue C, 2017

RHSBoost: Improving classification performance in imbalance data pp. 1-13

Joonho Gong and Hyunjoong Kim

The robust EM-type algorithms for log-concave mixtures of regression models pp. 14-26

Hao Hu, Weixin Yao and Yichao Wu

Online EM for functional data pp. 27-47

Florian Maire, Eric Moulines and Sidonie Lefebvre

Penalized principal logistic regression for sparse sufficient dimension reduction pp. 48-58

Seung Jun Shin and Andreas Artemiou

Multivariate location and scatter matrix estimation under cellwise and casewise contamination pp. 59-76

Andy Leung, Victor Yohai and Ruben Zamar

Subject-wise empirical likelihood inference in partial linear models for longitudinal data pp. 77-87

Lianfen Qian and Suojin Wang

Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study pp. 88-101

Hongxiao Zhu, Jeffrey S. Morris, Fengrong Wei and Dennis D. Cox

Bayesian local influence of semiparametric structural equation models pp. 102-115

Ming Ouyang, Xiaodong Yan, Ji Chen, Niansheng Tang and Xinyuan Song

Robust and sparse estimators for linear regression models pp. 116-130

Ezequiel Smucler and Victor J. Yohai

Sufficient dimension reduction constrained through sub-populations pp. 131-144

Elias Al-Najjar and Kofi P. Adragni

Residual and stratified branching particle filters pp. 145-165

Michael A. Kouritzin

Smooth conditional distribution estimators using Bernstein polynomials pp. 166-182

Mohamed Belalia, Taoufik Bouezmarni and Alexandre Leblanc

Pharmacokinetically guided optimum adaptive dose selection in early phase clinical trials pp. 183-202

M. Iftakhar Alam, Barbara Bogacka and D. Stephen Coad

A new method for evaluation of the Fisher information matrix for discrete mixed effect models using Monte Carlo sampling and adaptive Gaussian quadrature pp. 203-219

Sebastian Ueckert and France Mentré

Volume 110, issue C, 2017

D-vine copula based quantile regression pp. 1-18

Daniel Kraus and Claudia Czado

A hidden Markov model for latent temporal clustering with application to ideological alignment in the U.S. Supreme Court pp. 19-36

Harry Crane

Parsimonious and powerful composite likelihood testing for group difference and genotype–phenotype association pp. 37-49

Zhendong Huang, Davide Ferrari and Guoqi Qian

Estimating time-varying treatment switching effects via local linear smoothing and quasi-likelihood pp. 50-63

Hongmei Lin, Riquan Zhang, Wenchao Xu and Yuedong Wang

Nearest neighbor estimates of regression pp. 64-74

Kjell A. Doksum, Jiancheng Jiang, Bo Sun and Shuzhen Wang

Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments pp. 75-86

Shuwei Li, Tao Hu, Peijie Wang and Jianguo Sun

Mixture models for mixed-type data through a composite likelihood approach pp. 87-102

Monia Ranalli and Roberto Rocci

Variable selection for multiply-imputed data with penalized generalized estimating equations pp. 103-114

J. Geronimi and G. Saporta

Bayesian group bridge for bi-level variable selection pp. 115-133

Himel Mallick and Nengjun Yi

Principal components adjusted variable screening pp. 134-144

Zhongkai Liu, Rui Song, Donglin Zeng and Jiajia Zhang

Generalized partially linear regression with misclassified data and an application to labour market transitions pp. 145-159

Stephan Dlugosz, Enno Mammen and Ralf Wilke

Volume 109, issue C, 2017

Partial projective resampling method for dimension reduction: With applications to partially linear models pp. 1-14

Haileab Hilafu and Wenbo Wu

Composite quantile regression for correlated data pp. 15-33

Weihua Zhao, Heng Lian and Xinyuan Song

A mixture model-based nonparametric approach to estimating a count distribution pp. 34-44

Chew-Seng Chee

Estimation of selected parameters pp. 45-63

Jia-Chiun Pan, Yufen Huang and J.T. Gene Hwang

Robust and efficient estimation of multivariate scatter and location pp. 64-75

Ricardo A. Maronna and Victor J. Yohai

Correlation between graphs with an application to brain network analysis pp. 76-92

André Fujita, Daniel Yasumasa Takahashi, Joana Bisol Balardin, Maciel Calebe Vidal and João Ricardo Sato

Adjusting background noise in cluster analyses of longitudinal data pp. 93-104

Shengtong Han, Hongmei Zhang, Wilfried Karmaus, Graham Roberts and Hasan Arshad

Inference for biased transformation models pp. 105-120

Xuehu Zhu, Tao Wang, Junlong Zhao and Lixing Zhu

Bayesian quantile regression using random B-spline series prior pp. 121-143

Priyam Das and Subhashis Ghosal

Bayesian robust principal component analysis with structured sparse component pp. 144-158

Ningning Han, Yumeng Song and Zhanjie Song

An SVM-like approach for expectile regression pp. 159-181

Muhammad Farooq and Ingo Steinwart

Flexible integro-difference equation modeling for spatio-temporal data pp. 182-198

Robert Richardson, Athanasios Kottas and Bruno Sansó

Objective Bayesian analysis of JM model in software reliability pp. 199-214

Yongqiang Lian, Yincai Tang and Yijun Wang

Uncertainty-safe large scale support vector machines pp. 215-230

Nicolas Couellan and Wenjuan Wang

Hierarchical models: Local proposal variances for RWM-within-Gibbs and MALA-within-Gibbs pp. 231-246

Mylène Bédard