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ORCIDComputational Statistics & Data Analysis, Volume 124
Volume 124, August 2018
- Igor L. Kheifets
:
Multivariate specification tests based on a dynamic Rosenblatt transform. 1-14 - Jia Guo, Bu Zhou, Jin-Ting Zhang:
Testing the equality of several covariance functions for functional data: A supremum-norm based test. 15-26 - T. P. Yuen, Heung Wong, Ka Fai Cedric Yiu:
On constrained estimation of graphical time series models. 27-52 - Mengjiao Peng, Liming Xiang, Shanshan Wang:
Semiparametric regression analysis of clustered survival data with semi-competing risks. 53-70 - David J. Warne, Ruth E. Baker, Matthew J. Simpson:
Multilevel rejection sampling for approximate Bayesian computation. 71-86 - Haruhiko Ogasawara:
A family of the information criteria using the phi-divergence for categorical data. 87-103 - Jeffrey Daniel, Julie Horrocks, Gary J. Umphrey:
Penalized composite likelihoods for inhomogeneous Gibbs point process models. 104-116 - P. Y. O'Shaughnessy, Alan H. Welsh:
Bootstrapping longitudinal data with multiple levels of variation. 117-131 - Yong He, Xinsheng Zhang, Liwen Zhang:
Variable selection for high dimensional Gaussian copula regression model: An adaptive hypothesis testing procedure. 132-150 - Oswaldo Gressani, Philippe Lambert:
Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines. 151-167 - Wenfu Xu, Jingya Gao, Feifang Hu, Siu Hung Cheung:
Response-adaptive treatment allocation for non-inferiority trials with heterogeneous variances. 168-179 - Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi:
Sparse principal component regression for generalized linear models. 180-196 - Cristiano Villa, Francisco J. Rubio:
Objective priors for the number of degrees of freedom of a multivariate t distribution and the t-copula. 197-219 - Panagiotis Papastamoulis:
Overfitting Bayesian mixtures of factor analyzers with an unknown number of components. 220-234 - Xingjie Shi, Yuan Huang, Jian Huang, Shuangge Ma:
A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso. 235-251 - Loïc Giraldi, Olivier P. Le Maître, Ibrahim Hoteit, Omar M. Knio:
Optimal projection of observations in a Bayesian setting. 252-276 - Mahasen B. Dehideniya, Christopher C. Drovandi, James M. McGree:
Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology. 277-297
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