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ORCIDComputational Statistics & Data Analysis, Volume 109
Volume 109, May 2017
- Haileab Hilafu, Wenbo Wu
:
Partial projective resampling method for dimension reduction: With applications to partially linear models. 1-14 - Weihua Zhao, Heng Lian, Xinyuan Song:
Composite quantile regression for correlated data. 15-33 - Chew-Seng Chee:
A mixture model-based nonparametric approach to estimating a count distribution. 34-44 - Jia-Chiun Pan, Yufen Huang, J. T. Gene Hwang:
Estimation of selected parameters. 45-63 - Ricardo A. Maronna, Victor J. Yohai:
Robust and efficient estimation of multivariate scatter and location. 64-75 - André Fujita, Daniel Yasumasa Takahashi, Joana Bisol Balardin, Maciel Calebe Vidal, João Ricardo Sato:
Correlation between graphs with an application to brain network analysis. 76-92
- Shengtong Han, Hongmei Zhang, Wilfried Karmaus, Graham C. Roberts, Hasan Arshad:
Adjusting background noise in cluster analyses of longitudinal data. 93-104
- Xuehu Zhu, Tao Wang, Junlong Zhao, Lixing Zhu:
Inference for biased transformation models. 105-120 - Priyam Das, Subhashis Ghosal:
Bayesian quantile regression using random B-spline series prior. 121-143 - Ningning Han, Yumeng Song, Zhanjie Song:
Bayesian robust principal component analysis with structured sparse component. 144-158
- Muhammad Farooq, Ingo Steinwart:
An SVM-like approach for expectile regression. 159-181
- Robert Richardson, Athanasios Kottas, Bruno Sansó:
Flexible integro-difference equation modeling for spatio-temporal data. 182-198 - Yongqiang Lian, Yincai Tang, Yijun Wang:
Objective Bayesian analysis of JM model in software reliability. 199-214 - Nicolas P. Couellan, Wenjuan Wang:
Uncertainty-safe large scale support vector machines. 215-230
- Mylène Bédard:
Hierarchical models: Local proposal variances for RWM-within-Gibbs and MALA-within-Gibbs. 231-246
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