Modern Multivariate Statistical Techniques

Regression, Classification, and Manifold Learning

Authors:

ISBN: 978-0-387-78188-4 (Print) 978-0-387-78189-1 (Online)

Table of contents (17 chapters)

  1. Front Matter

    Pages i-xxv

  2. No Access

    Book Chapter

    Pages 1-16

    Introduction and Preview

  3. No Access

    Book Chapter

    Pages 17-44

    Data and Databases

  4. No Access

    Book Chapter

    Pages 45-74

    Random Vectors and Matrices

  5. No Access

    Book Chapter

    Pages 75-106

    Nonparametric Density Estimation

  6. No Access

    Book Chapter

    Pages 107-158

    Model Assessment and Selection in Multiple Regression

  7. No Access

    Book Chapter

    Pages 159-194

    Multivariate Regression

  8. No Access

    Book Chapter

    Pages 195-236

    Linear Dimensionality Reduction

  9. No Access

    Book Chapter

    Pages 237-280

    Linear Discriminant Analysis

  10. No Access

    Book Chapter

    Pages 281-314

    Recursive Partitioning and Tree-Based Methods

  11. No Access

    Book Chapter

    Pages 315-368

    Artificial Neural Networks

  12. No Access

    Book Chapter

    Pages 369-406

    Support Vector Machines

  13. No Access

    Book Chapter

    Pages 407-462

    Cluster Analysis

  14. No Access

    Book Chapter

    Pages 463-504

    Multidimensional Scaling and Distance Geometry

  15. No Access

    Book Chapter

    Pages 505-550

    Committee Machines

  16. No Access

    Book Chapter

    Pages 551-596

    Latent Variable Models for Blind Source Separation

  17. No Access

    Book Chapter

    Pages 597-632

    Nonlinear Dimensionality Reduction and Manifold Learning

  18. No Access

    Book Chapter

    Pages 633-666

    Correspondence Analysis

  19. Back Matter

    Pages 667-733