Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

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Volume 93, issue C, 2016

Identifying connected components in Gaussian finite mixture models for clustering pp. 5-17

Luca Scrucca

Clustering with the multivariate normal inverse Gaussian distribution pp. 18-30

O’Hagan, Adrian, Thomas Brendan Murphy, Isobel Claire Gormley, Paul D. McNicholas and Dimitris Karlis

Model-based biclustering of clickstream data pp. 31-45

Volodymyr Melnykov

Mixture-based clustering for the ordered stereotype model pp. 46-75

D. Fernández, R. Arnold and S. Pledger

Mixtures of spatial spline regressions for clustering and classification pp. 76-85

Hien D. Nguyen, Geoffrey J. McLachlan and Ian A. Wood

Wavelet-based scalar-on-function finite mixture regression models pp. 86-96

Adam Ciarleglio and R. Todd Ogden

On the estimation of mixtures of Poisson regression models with large number of components pp. 97-106

Panagiotis Papastamoulis, Marie-Laure Martin-Magniette and Cathy Maugis-Rabusseau

Nonparametric estimation of species richness using discrete k-monotone distributions pp. 107-118

Chew-Seng Chee and Yong Wang

Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies pp. 119-130

Xiaosun Lu, Yangxin Huang and Yiliang Zhu

General framework and model building in the class of Hidden Mixture Transition Distribution models pp. 131-145

Danilo Bolano and André Berchtold

Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices pp. 146-161

Grant B. Morgan, Kari J. Hodge and Aaron R. Baggett

Mixtures of quantile regressions pp. 162-176

Qiang Wu and Weixin Yao

Laplace mixture of linear experts pp. 177-191

Hien D. Nguyen and Geoffrey J. McLachlan

Modelling receiver operating characteristic curves using Gaussian mixtures pp. 192-208

Amay S.M. Cheam and Paul D. McNicholas

Maximum likelihood estimation and expectation–maximization algorithm for controlled branching processes pp. 209-227

M. González, C. Minuesa and I. del Puerto

EM algorithms for estimating the Bernstein copula pp. 228-245

Xiaoling Dou, Satoshi Kuriki, Gwo Dong Lin and Donald Richards

Transdimensional sequential Monte Carlo using variational Bayes — SMCVB pp. 246-254

C.A. McGrory, A.N. Pettitt, D.M. Titterington, C.L. Alston and M. Kelly

Partially linear transformation cure models for interval-censored data pp. 257-269

Tao Hu and Liming Xiang

Flexible estimation in cure survival models using Bayesian P-splines pp. 270-284

Vincent Bremhorst and Philippe Lambert

Empirical likelihood confidence regions for one- or two- samples with doubly censored data pp. 285-293

Junshan Shen, Kam Chuen Yuen and Chunling Liu

Nonparametric regression with doubly truncated data pp. 294-307

C. Moreira, J. de Uña-Álvarez and L. Meira-Machado

Parametrically guided nonparametric density and hazard estimation with censored data pp. 308-323

Majda Talamakrouni, Ingrid Van Keilegom and Anouar El Ghouch

The liability threshold model for censored twin data pp. 324-335

Klaus K. Holst, Thomas H. Scheike and Jacob B. Hjelmborg

Causal mediation analysis for survival outcome with unobserved mediator–outcome confounders pp. 336-347

Peng Luo and Zhi Geng

Goodness-of-fit test of the stratified mark-specific proportional hazards model with continuous mark pp. 348-358

Yanqing Sun, Mei Li and Peter B. Gilbert

Full Bayesian inference with hazard mixture models pp. 359-372

Julyan Arbel, Antonio Lijoi and Bernardo Nipoti

Bayesian network data imputation with application to survival tree analysis pp. 373-387

Paola M.V. Rancoita, Marco Zaffalon, Emanuele Zucca, Francesco Bertoni and Cassio P. de Campos

Sparse estimation of high-dimensional correlation matrices pp. 390-403

Ying Cui, Chenlei Leng and Defeng Sun

Robust estimation of precision matrices under cellwise contamination pp. 404-420

G. Tarr, S. Müller and N.C. Weber

Robust groupwise least angle regression pp. 421-435

Andreas Alfons, Christophe Croux and Sarah Gelper

Robust tests for linear regression models based on τ-estimates pp. 436-455

Matias Salibian-Barrera, Stefan Van Aelst and Víctor J. Yohai

Minimum volume peeling: A robust nonparametric estimator of the multivariate mode pp. 456-468

T. Kirschstein, S. Liebscher, G.C. Porzio and G. Ragozini

New upper bounds for tight and fast approximation of Fisher’s exact test in dependency rule mining pp. 469-482

Wilhelmiina Hämäläinen

Noise peeling methods to improve boosting algorithms pp. 483-497

Waldyn Martinez and J. Brian Gray

Volume 92, issue C, 2015

Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling pp. 1-12

Ulf Friedrich, Ralf Münnich, Sven de Vries and Matthias Wagner

Covariance matrix estimation for left-censored data pp. 13-25

Maiju Pesonen, Henri Pesonen and Jaakko Nevalainen

Simulation-based fully Bayesian experimental design for mixed effects models pp. 26-39

Elizabeth G. Ryan, Christopher C. Drovandi and Anthony N. Pettitt

Studies of the adaptive network-constrained linear regression and its application pp. 40-52

Hu Yang and Danhui Yi

Moderately clipped LASSO pp. 53-67

Sunghoon Kwon, Sangin Lee and Yongdai Kim

Estimation and inference on central mean subspace for multivariate response data pp. 68-83

Liping Zhu and Wei Zhong

Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets pp. 84-96

S. Rashid, R. Mitra and R.J. Steele

A test for equality of two distributions via jackknife empirical likelihood and characteristic functions pp. 97-114

Zhi Liu, Xiaochao Xia and Wang Zhou

Matrix completion discriminant analysis pp. 115-125

Tong Tong Wu and Kenneth Lange

Detecting misspecification in the random-effects structure of cumulative logit models pp. 126-133

Kuo-Chin Lin and Yi-Ju Chen

Regression under Cox’s model for recall-based time-to-event data in observational studies pp. 134-147

Sedigheh Mirzaei Salehabadi and Debasis Sengupta

Nonparametric density estimation for multivariate bounded data using two non-negative multiplicative bias correction methods pp. 148-162

Benedikt Funke and Rafael Kawka

A Bayesian mixture model to quantify parameters of spatial clustering pp. 163-176

Martin Schäfer, Yvonne Radon, Thomas Klein, Sabrina Herrmann, Holger Schwender, Peter J. Verveer and Katja Ickstadt

Volume 91, issue C, 2015

A note on implementing the Durbin and Koopman simulation smoother pp. 1-3

Marek Jarociński

Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation pp. 4-19

Stéphanie Allassonnière and Estelle Kuhn

Conditional quantile estimation based on optimal quantization: From theory to practice pp. 20-39

Isabelle Charlier, Davy Paindaveine and Jérôme Saracco

Joint latent class model of survival and longitudinal data: An application to CPCRA study pp. 40-50

Yue Liu, Lei Liu and Jianhui Zhou

Long-term survival models with overdispersed number of competing causes pp. 51-63

Wagner Barreto-Souza

The hybrid method of FSIR and FSAVE for functional effective dimension reduction pp. 64-77

Guochang Wang, Yan Zhou, Xiang-Nan Feng and Baoxue Zhang

Efficient maximum approximated likelihood inference for Tukey’s g-and-h distribution pp. 78-91

Ganggang Xu and Marc G. Genton

Jackknife empirical likelihood inference for the mean absolute deviation pp. 92-101

Yichuan Zhao, Xueping Meng and Hanfang Yang