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Computational Statistics & Data Analysis, Volume 137

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Volume 137, September 2019

Statistical Methodology for Data Analysis

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  - journals/csda/Castillo-PaezFG19
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Sergio Castillo-Páez, Rubén Fernández-Casal, Pilar García-Soidán:
A nonparametric bootstrap method for spatial data. 1-15

Computational Statistics

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  - journals/csda/IppelKV19
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Lianne Ippel, Maurits Clemens Kaptein, Jeroen K. Vermunt:
Online estimation of individual-level effects using streaming shrinkage factors. 16-32

Statistical Methodology for Data Analysis

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  - journals/csda/BuiA19
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Anh Tuan Bui, Daniel W. Apley:
An exploratory analysis approach for understanding variation in stochastic textured surfaces. 33-50

Computational Statistics

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  - journals/csda/ThadenKK19
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Hauke Thaden, Nadja Klein, Thomas Kneib:
Multivariate effect priors in bivariate semiparametric recursive Gaussian models. 51-66
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  - journals/csda/AzzimontiCZ19
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Laura Azzimonti, Giorgio Corani, Marco Zaffalon:
Hierarchical estimation of parameters in Bayesian networks. 67-91

Statistical Methodology for Data Analysis

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  - journals/csda/Fuentes-GarciaM19
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Ruth Fuentes-García, Ramsés H. Mena, Stephen G. Walker:
Modal posterior clustering motivated by Hopfield's network. 92-100

Computational Statistics

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  - journals/csda/GrompingF19
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Ulrike Grömping, Roberto Fontana:
An algorithm for generating good mixed level factorial designs. 101-114
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  - journals/csda/LitvinenkoSGK19
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Alexander Litvinenko, Ying Sun, Marc G. Genton, David E. Keyes:
Likelihood approximation with hierarchical matrices for large spatial datasets. 115-132

Statistical Methodology for Data Analysis

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Stephan M. Bischofberger, Munir Hiabu, Enno Mammen, Jens Perch Nielsen:
A comparison of in-sample forecasting methods. 133-154
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Shengmei He, Shuangge Ma, Wangli Xu:
A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis. 155-169
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Jinqing Li, Jun Ma:
Maximum penalized likelihood estimation of additive hazards models with partly interval censoring. 170-180

Computational Statistics

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Maryclare Griffin, Peter D. Hoff:
Lasso ANOVA decompositions for matrix and tensor data. 181-194

Statistical Methodology for Data Analysis

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Takeru Matsuda, Fumiyasu Komaki:
Empirical Bayes matrix completion. 195-210

Computational Statistics

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Dominik Müller, Claudia Czado:
Dependence modelling in ultra high dimensions with vine copulas and the Graphical Lasso. 211-232

Statistical Methodology for Data Analysis

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Baisen Liu, Liangliang Wang, Yunlong Nie, Jiguo Cao:
Bayesian inference of mixed-effects ordinary differential equations models using heavy-tailed distributions. 233-246
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Laurent R. Bergé, Charles Bouveyron, Marco Corneli, Pierre Latouche:
The latent topic block model for the co-clustering of textual interaction data. 247-270
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Jicai Liu, Peirong Xu, Heng Lian:
Estimation for single-index models via martingale difference divergence. 271-284
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  - journals/csda/Marinas-Collado19
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Irene Mariñas-Collado, Adrian W. Bowman, Vincent Macaulay:
A phylogenetic Gaussian process model for the evolution of curves embedded in d-dimensions. 285-298

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