Links for Statistics and Statistical Computing

Parametric Models and Partial Least Squares

• Partial Least Squares
• Partial least squares (smart module)
• SAS webpage for PLS
• Partial Least Sqaures Reference
• An example of S+ for PLS
• A seminar for PLS
• PLS tool-box for Matlab
• A textbook on generalized linear models
• Gordon Smyth's GLM page

General Non-Parametric Models

• Multidimensional Smoothing with Kernels

Cross Entropy and Mutual Information

• Lecture for Cross Entropy
• Mutual information and Kullback-Leibler divergence
• Information Measurement
• Entropy on the World Wide Web
• Measures for rules
• Correlations and the encoding of information
• A PDF file about information gain by Andrew Moore
• A C4.5 Tutorial

Cross Validation, Bagging, and Boosting

• Evaluating what's been learned
• Schapire's Boosting page
• What are Cross Validation and Bootstrapping
• A Bibliography for Model Assessment and Model Choice
• Boosting organization
• Combinations of Classifiers and Regressors and Resources

Graphic Models and Bayesian Net

• David Heckerman's publication pages
• Murphy's graphic model page
• Koller's slides on bayesian networks

Expectation Maximization

• Expectation maximization algorithms
• Lecture of EM algorithm
• Expectation maximization algorithm

Certain Statistics

• Kappa statistic in Chest X-ray
• Statistical Formulae Used in 3D-QSAR (Apex-3D)
• Measures of nongaussianity
• Kurtosis from MathWorld

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