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ORCIDComputational Statistics & Data Analysis, Volume 96
Volume 96, April 2016
- Kaifeng Zhao
, Heng Lian:
The Expectation-Maximization approach for Bayesian quantile regression. 1-11 - Darshana Chitraka Wickramarachchi, Blair Lennon Robertson, Marco Reale, Christopher John Price, Jennifer Brown:
HHCART: An oblique decision tree. 12-23
- Guoyou Qin, Jiajia Zhang, Zhong Yi Zhu:
Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error. 24-39 - Weihua Zhao, Heng Lian, Riquan Zhang, Peng Lai:
Estimation and variable selection for proportional response data with partially linear single-index models. 40-56 - Silke Janitza, Gerhard Tutz, Anne-Laure Boulesteix:
Random forest for ordinal responses: Prediction and variable selection. 57-73 - Jakub Stoklosa, Peter Dann, Richard M. Huggins, Wen-Han Hwang:
Estimation of survival and capture probabilities in open population capture-recapture models when covariates are subject to measurement error. 74-86 - Tso-Jung Yen, Yu-Min Yen:
Structured variable selection via prior-induced hierarchical penalty functions. 87-103 - Xiaochao Xia, Zhi Liu, Hu Yang:
Regularized estimation for the least absolute relative error models with a diverging number of covariates. 104-119 - Jeffrey D. Hart, Taeryon Choi, Seongbaek Yi:
Frequentist nonparametric goodness-of-fit tests via marginal likelihood ratios. 120-132 - Shiyi Tu, Min Wang, Xiaoqian Sun:
Bayesian analysis of two-piece location-scale models under reference priors with partial information. 133-144 - Adam Petrie:
Graph-theoretic multisample tests of equality in distribution for high dimensional data. 145-158
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