'Bootstrap samples' diaporamas de présentation

Agenda

Agenda. Bayes rule Popular classification methods Logistic regression Linear discriminant analysis (LDA)/QDA and Fisher criteria K-nearest neighbor (KNN) Classification and regression tree (CART) Bagging Boosting Random Forest Support vector machines (SVM)

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Bagging

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Bootstrap Event Study Tests

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End of Chapter 8

End of Chapter 8. Neil Weisenfeld March 28, 2005. Outline. 8.6 MCMC for Sampling from the Posterior 8.7 Bagging 8.7.1 Examples: Trees with Simulated Data 8.8 Model Averaging and Stacking 8.9 Stochastic Search: Bumping. MCMC for Sampling from the Posterior. Markov chain Monte Carlo method

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Bootstrap Confidence Intervals for Reservoir Model Selection Techniques

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David Speights Senior Research Statistician HNC Insurance Solutions Irvine, California

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Capital Management: Do You Have the Right Strategy?

Capital Management: Do You Have the Right Strategy?. Casualty Actuarial Society 1999 Special Interest Seminar Dynamic Financial Analysis Chicago, IL, July 19-20, 1999. Using the Bootstrap in DFA: An Experiment. William C. Scheel Swiss Re Investors Falcon Group.

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Paul Jen-Hwa Hua, Chih-Ping Wei, Tsang-Hsiang Cheng, Jian-Xun Chen,

Predicting adequacy of vancomycin regimens: A learning-based classification approach to improving clinical decision making. Paul Jen-Hwa Hua, Chih-Ping Wei, Tsang-Hsiang Cheng, Jian-Xun Chen, Decision Support Systems, 2006. (article in press) . Presenter : Wei-Shen Tai

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