Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

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Volume 94, issue C, 2016

Nonlinear expectile regression with application to Value-at-Risk and expected shortfall estimation pp. 1-19

Minjo Kim and Sangyeol Lee

A triplot for multiclass classification visualisation pp. 20-32

Sugnet Gardner-Lubbe

Principal minimax support vector machine for sufficient dimension reduction with contaminated data pp. 33-48

Jingke Zhou and Lixing Zhu

Fast and accurate computation for kernel estimators pp. 49-62

Qingguo Tang and Rohana J. Karunamuni

A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models pp. 63-74

Takanori Hasegawa, Atsushi Niida, Tomoya Mori, Teppei Shimamura, Rui Yamaguchi, Satoru Miyano, Tatsuya Akutsu and Seiya Imoto

A semiparametric scale-mixture regression model and predictive recursion maximum likelihood pp. 75-85

Ryan Martin and Zhen Han

Diagnostic checking of the vector multiplicative error model pp. 86-97

F.C. Ng, W.K. Li and Philip L.H. Yu

A propensity score adjustment method for regression models with nonignorable missing covariates pp. 98-119

Depeng Jiang, Puying Zhao and Niansheng Tang

The Hawkes process with renewal immigration & its estimation with an EM algorithm pp. 120-135

Spencer Wheatley, Vladimir Filimonov and Didier Sornette

The generalized modified Weibull power series distribution: Theory and applications pp. 136-160

S.F. Bagheri, E. Bahrami Samani and M. Ganjali

Nonparametric estimation of a quantile density function by wavelet methods pp. 161-174

Christophe Chesneau, Isha Dewan and Hassan Doosti

A general procedure to combine estimators pp. 175-192

F. Lavancier and P. Rochet

Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study pp. 193-209

Maria Francesca Marino and Marco Alfó

Parametric cost-effectiveness inference with skewed data pp. 210-220

Ionut Bebu, George Luta, Thomas Mathew, Paul A. Kennedy and Brian K. Agan

On stepwise pattern recovery of the fused Lasso pp. 221-237

Junyang Qian and Jinzhu Jia

A sequential logistic regression classifier based on mixed effects with applications to longitudinal data pp. 238-249

Xin Zhang, Daniel R. Jeske, Jun Li and Vance Wong

Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models pp. 250-264

Joshua Svenson and Thomas Santner

Fixed factor analysis with clustered factor score constraint pp. 265-274

Kohei Uno, Hironori Satomura and Kohei Adachi

A modified local quadratic approximation algorithm for penalized optimization problems pp. 275-286

Sangin Lee, Sunghoon Kwon and Yongdai Kim

Adaptive conditional feature screening pp. 287-301

Lu Lin and Jing Sun

Jackknife empirical likelihood test for high-dimensional regression coefficients pp. 302-316

Yangguang Zang, Sanguo Zhang, Qizhai Li and Qingzhao Zhang

Interaction models for functional regression pp. 317-329

Joseph Usset, Ana-Maria Staicu and Arnab Maity

Simplicial principal component analysis for density functions in Bayes spaces pp. 330-350

K. Hron, A. Menafoglio, M. Templ, K. Hrůzová and Peter Filzmoser

Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring pp. 351-362

Robert G. Aykroyd, Stuart Barber and Luke R. Miller

Analysis of long series of longitudinal ordinal data using marginalized models pp. 363-371

Keunbaik Lee, Insuk Sohn and Donguk Kim

Multivariate Fay–Herriot models for small area estimation pp. 372-390

Roberto Benavent and Domingo Morales

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