Springer Series in Statistics - Bayesian and Frequentist Regression Methods
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9781441909244, 9781441909251

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Functions of Normal Random Variables

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_17 ◽

2012 ◽

pp. 667-667

Author(s):

Jon Wakefield

Keyword(s):

Random Variables

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Some Results from Classical Statistics

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_18 ◽

2012 ◽

pp. 669-671

Author(s):

Jon Wakefield

Keyword(s):

Classical Statistics

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Nonparametric Regression with Multiple Predictors

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_12 ◽

2012 ◽

pp. 597-645 ◽

Cited By ~ 1

Author(s):

Jon Wakefield

Keyword(s):

Nonparametric Regression

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Hypothesis Testing and Variable Selection

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_4 ◽

2012 ◽

pp. 153-191

Author(s):

Jon Wakefield

Keyword(s):

Variable Selection ◽

Hypothesis Testing

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General Regression Models

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_6 ◽

2012 ◽

pp. 253-303

Author(s):

Jon Wakefield

Keyword(s):

Regression Models ◽

General Regression

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Differentiation of Matrix Expressions

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_13 ◽

2012 ◽

pp. 649-651

Author(s):

Jon Wakefield

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Preliminaries for Nonparametric Regression

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_10 ◽

2012 ◽

pp. 503-545

Author(s):

Jon Wakefield

Keyword(s):

Nonparametric Regression

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Introduction and Motivating Examples

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_1 ◽

2012 ◽

pp. 1-24 ◽

Cited By ~ 1

Author(s):

Jon Wakefield

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Spline and Kernel Methods

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_11 ◽

2012 ◽

pp. 547-595

Author(s):

Jon Wakefield

Keyword(s):

Kernel Methods

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Linear Models

Springer Series in Statistics - Bayesian and Frequentist Regression Methods ◽

10.1007/978-1-4419-0925-1_5 ◽

2012 ◽

pp. 195-252

Author(s):

Jon Wakefield

Keyword(s):

Linear Models

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Springer Series in Statistics - Bayesian and Frequentist Regression MethodsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Functions of Normal Random Variables

Some Results from Classical Statistics

Nonparametric Regression with Multiple Predictors

Hypothesis Testing and Variable Selection

General Regression Models

Differentiation of Matrix Expressions

Preliminaries for Nonparametric Regression

Introduction and Motivating Examples

Spline and Kernel Methods

Linear Models

Springer Series in Statistics - Bayesian and Frequentist Regression Methods
Latest Publications