Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning - Tapa blanda

Sinopsis

Preface. - Introduction and preview. - Data and databases. - Random vectors and matrices. - Nonparametric density estimation. - Multiple regression and model assessment. - Multivariate regression. - Linear dimensionality reduction. - Linear discriminant analysis. - Recursive partitioning and decision trees. - Artificial nueral networks. - Support vector machines. - Cluster analysis. - Multidimensional scaling and distance geometry. - Committee machines. - Nonlinear dimensionality reduction. - Wavelets. - Correspondence analysis. - Notation and mathematical results. - References.

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