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Computational Statistics & Data Analysis

1983 - 2017

Current editor(s): S.P. Azen

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Volume 111, issue C, 2017

RHSBoost: Improving classification performance in imbalance data pp. 1-13 Downloads
Joonho Gong and Hyunjoong Kim
The robust EM-type algorithms for log-concave mixtures of regression models pp. 14-26 Downloads
Hao Hu, Weixin Yao and Yichao Wu
Online EM for functional data pp. 27-47 Downloads
Florian Maire, Eric Moulines and Sidonie Lefebvre
Penalized principal logistic regression for sparse sufficient dimension reduction pp. 48-58 Downloads
Seung Jun Shin and Andreas Artemiou
Multivariate location and scatter matrix estimation under cellwise and casewise contamination pp. 59-76 Downloads
Andy Leung, Victor Yohai and Ruben Zamar
Subject-wise empirical likelihood inference in partial linear models for longitudinal data pp. 77-87 Downloads
Lianfen Qian and Suojin Wang
Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study pp. 88-101 Downloads
Hongxiao Zhu, Jeffrey S. Morris, Fengrong Wei and Dennis D. Cox
Bayesian local influence of semiparametric structural equation models pp. 102-115 Downloads
Ming Ouyang, Xiaodong Yan, Ji Chen, Niansheng Tang and Xinyuan Song
Robust and sparse estimators for linear regression models pp. 116-130 Downloads
Ezequiel Smucler and Victor J. Yohai
Sufficient dimension reduction constrained through sub-populations pp. 131-144 Downloads
Elias Al-Najjar and Kofi P. Adragni
Residual and stratified branching particle filters pp. 145-165 Downloads
Michael A. Kouritzin
Smooth conditional distribution estimators using Bernstein polynomials pp. 166-182 Downloads
Mohamed Belalia, Taoufik Bouezmarni and Alexandre Leblanc
Pharmacokinetically guided optimum adaptive dose selection in early phase clinical trials pp. 183-202 Downloads
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 Downloads
Sebastian Ueckert and France Mentré

Volume 110, issue C, 2017

D-vine copula based quantile regression pp. 1-18 Downloads
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 Downloads
Harry Crane
Parsimonious and powerful composite likelihood testing for group difference and genotype–phenotype association pp. 37-49 Downloads
Zhendong Huang, Davide Ferrari and Guoqi Qian
Estimating time-varying treatment switching effects via local linear smoothing and quasi-likelihood pp. 50-63 Downloads
Hongmei Lin, Riquan Zhang, Wenchao Xu and Yuedong Wang
Nearest neighbor estimates of regression pp. 64-74 Downloads
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 Downloads
Shuwei Li, Tao Hu, Peijie Wang and Jianguo Sun
Mixture models for mixed-type data through a composite likelihood approach pp. 87-102 Downloads
Monia Ranalli and Roberto Rocci
Variable selection for multiply-imputed data with penalized generalized estimating equations pp. 103-114 Downloads
J. Geronimi and G. Saporta
Bayesian group bridge for bi-level variable selection pp. 115-133 Downloads
Himel Mallick and Nengjun Yi
Principal components adjusted variable screening pp. 134-144 Downloads
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 Downloads
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 Downloads
Haileab Hilafu and Wenbo Wu
Composite quantile regression for correlated data pp. 15-33 Downloads
Weihua Zhao, Heng Lian and Xinyuan Song
A mixture model-based nonparametric approach to estimating a count distribution pp. 34-44 Downloads
Chew-Seng Chee
Estimation of selected parameters pp. 45-63 Downloads
Jia-Chiun Pan, Yufen Huang and J.T. Gene Hwang
Robust and efficient estimation of multivariate scatter and location pp. 64-75 Downloads
Ricardo A. Maronna and Victor J. Yohai
Correlation between graphs with an application to brain network analysis pp. 76-92 Downloads
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 Downloads
Shengtong Han, Hongmei Zhang, Wilfried Karmaus, Graham Roberts and Hasan Arshad
Inference for biased transformation models pp. 105-120 Downloads
Xuehu Zhu, Tao Wang, Junlong Zhao and Lixing Zhu
Bayesian quantile regression using random B-spline series prior pp. 121-143 Downloads
Priyam Das and Subhashis Ghosal
Bayesian robust principal component analysis with structured sparse component pp. 144-158 Downloads
Ningning Han, Yumeng Song and Zhanjie Song
An SVM-like approach for expectile regression pp. 159-181 Downloads
Muhammad Farooq and Ingo Steinwart
Flexible integro-difference equation modeling for spatio-temporal data pp. 182-198 Downloads
Robert Richardson, Athanasios Kottas and Bruno Sansó
Objective Bayesian analysis of JM model in software reliability pp. 199-214 Downloads
Yongqiang Lian, Yincai Tang and Yijun Wang
Uncertainty-safe large scale support vector machines pp. 215-230 Downloads
Nicolas Couellan and Wenjuan Wang
Hierarchical models: Local proposal variances for RWM-within-Gibbs and MALA-within-Gibbs pp. 231-246 Downloads
Mylène Bédard

Volume 108, issue C, 2017

A new two-stage multiple comparison procedure for comparing several exponential populations with a control under heteroscedasticity pp. 1-11 Downloads
Vishal Maurya, A.N. Gill and Aarti Goyal
Analysis of left truncated and right censored competing risks data pp. 12-26 Downloads
Debasis Kundu, Debanjan Mitra and Ayon Ganguly
The doubly smoothed maximum likelihood estimation for location-shifted semiparametric mixtures pp. 27-39 Downloads
Byungtae Seo
Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature pp. 40-51 Downloads
Valérie Monbet and Pierre Ailliot
Tracking concept drift using a constrained penalized regression combiner pp. 52-69 Downloads
Li-Yu Wang, Cheolwoo Park, Kyupil Yeon and Hosik Choi
Adaptive penalized splines for data smoothing pp. 70-83 Downloads
Lianqiang Yang and Yongmiao Hong
Approximate maximum likelihood estimation of the Bingham distribution pp. 84-96 Downloads
Marco Bee, Roberto Benedetti and Giuseppe Espa
Nonparametric estimation of dynamic discrete choice models for time series data pp. 97-120 Downloads
Byeong U. Park, Léopold Simar and Valentin Zelenyuk
Correlation rank screening for ultrahigh-dimensional survival data pp. 121-132 Downloads
Jing Zhang, Yanyan Liu and Yuanshan Wu
A multi-row deletion diagnostic for influential observations in small-sample regressions pp. 133-145 Downloads
Daniel Kaffine and Graham Davis
Robust estimation and variable selection in sufficient dimension reduction pp. 146-157 Downloads
Hossein Moradi Rekabdarkolaee, Edward Boone and Qin Wang
Page updated 2017-04-28