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ORCIDComputational Statistics & Data Analysis, Volume 134
Volume 134, June 2019
- Li Liu, Liming Xiang
:
Missing covariate data in generalized linear mixed models with distribution-free random effects. 1-16 - Lili Yue, Gaorong Li, Heng Lian, Xiang Wan:
Regression adjustment for treatment effect with multicollinearity in high dimensions. 17-35 - Daniela De Canditiis, Italia De Feis:
Simultaneous nonparametric regression in RADWT dictionaries. 36-57 - Junmo Song, Changryong Baek:
Detecting structural breaks in realized volatility. 58-75
- Youngdeok Hwang, Hang J. Kim, Won Chang, Kyongmin Yeo, Yongku Kim:
Bayesian pollution source identification via an inverse physics model. 76-92
- Thais A. Rodrigues, J.-L. Dortet-Bernadet, Yanan Fan:
Simultaneous fitting of Bayesian penalised quantile splines. 93-109 - Lei Huang, Hui Jiang, Huixia Wang:
A novel partial-linear single-index model for time series data. 110-122 - Takuma Yoshida, Kanta Naito:
Regression with stagewise minimization on risk function. 123-143
- Claudio Agostinelli, Marina Valdora, Victor J. Yohai:
Initial robust estimation in generalized linear models. 144-156
- Rakhi Singh, Siuli Mukhopadhyay:
Exact Bayesian designs for count time series. 157-170
- Holger Cevallos-Valdiviezo, Stefan Van Aelst:
Fast computation of robust subspace estimators. 171-185
- Zhiping Qiu, Limin Peng, Amita Manatunga, Ying Guo:
A smooth nonparametric approach to determining cut-points of a continuous scale. 186-210
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