Bayesian and Frequentist Regression Methods

Authors:

ISBN: 978-1-4419-0924-4 (Print) 978-1-4419-0925-1 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages i-xix

  2. No Access

    Book Chapter

    Pages 1-24

    Introduction and Motivating Examples

  3. Inferential Approaches

    1. Front Matter

      Pages 25-25

    2. No Access

      Book Chapter

      Pages 27-83

      Frequentist Inference

    3. No Access

      Book Chapter

      Pages 85-151

      Bayesian Inference

    4. No Access

      Book Chapter

      Pages 153-191

      Hypothesis Testing and Variable Selection

  4. Independent Data

    1. Front Matter

      Pages 193-193

    2. No Access

      Book Chapter

      Pages 195-252

      Linear Models

    3. No Access

      Book Chapter

      Pages 253-303

      General Regression Models

    4. No Access

      Book Chapter

      Pages 305-350

      Binary Data Models

  5. Dependent Data

    1. Front Matter

      Pages 351-351

    2. No Access

      Book Chapter

      Pages 353-423

      Linear Models

    3. No Access

      Book Chapter

      Pages 425-500

      General Regression Models

  6. Nonparametric Modeling

    1. Front Matter

      Pages 501-501

    2. No Access

      Book Chapter

      Pages 503-545

      Preliminaries for Nonparametric Regression

    3. No Access

      Book Chapter

      Pages 547-595

      Spline and Kernel Methods

    4. No Access

      Book Chapter

      Pages 597-645

      Nonparametric Regression with Multiple Predictors

  7. Appendices

    1. Front Matter

      Pages 647-647

    2. No Access

      Book Chapter

      Pages 649-651

      Differentiation of Matrix Expressions

    3. No Access

      Book Chapter

      Pages 653-654

      Matrix Results

    4. No Access

      Book Chapter

      Pages 655-655

      Some Linear Algebra

    5. No Access

      Book Chapter

      Pages 657-665

      Probability Distributions and Generating Functions

    6. No Access

      Book Chapter

      Pages 667-667

      Functions of Normal Random Variables

    7. No Access

      Book Chapter

      Pages 669-671

      Some Results from Classical Statistics

    8. No Access

      Book Chapter

      Pages 673-674

      Basic Large Sample Theory

  8. Back Matter

    Pages 675-697