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Part I
Computational Statistics What is Computational Statistics
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James E. GentleWolfgang HardleYuichi Mori |
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Part II
Statistical Computing Basic Computational Algorithms
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John Monaham |
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Random Number Generation
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Pierre L'Ecuyer |
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MCMC Technology
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Siddartha Chib |
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Numerical Linear Algebra
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Lenka Cizkova |
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The EM Algorithm
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Geoffrey McLachlan |
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Stochastic Optimization
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James C. Spall |
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Transforms
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Brani Vidakovic |
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Parallel Computing Techniques
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Junji Nakano |
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Data Base Methodology
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Oliver GuntherJoachim Lenz |
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Statistical Languages
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Tomoyuki Tarumi |
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High-Dimensional Visualization
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Edward Wegman |
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Interactive Graphics
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Jurgen Symanzik |
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The Grammar of Graphics
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Leland Wilkinson |
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User Interfaces
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Sigbert Klinke |
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Object Oriented Computing
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Miroslav Virius |
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Part III
Statistical Methodology Cross Validation and Model Choice
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Yuedong Wang |
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Bootstrap and Resampling
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Enno Mammen |
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Simulation Techniques
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Jack Kleijnen |
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Multivariate Density Estimation and Visualization
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David Scott |
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Smoothing: Local Regression Techniques
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Catherine Loader |
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Dimension Reduction Methods
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Masahiro Mizuta |
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Generalized Linear Models
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Marlene Muller |
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(Non) linear Regression Modelling
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Pavel Cizek |
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Robustness Issues
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P. Laurie DaviesUrsula Gather |
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Semiparametrics
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Joel Horowitz |
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Computational Methods in Bayesian Analysis
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Christian Robert |
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Data and Knowledge Mining
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Adalbert X. Wilhelm |
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Tree Based Methods
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Heping Zhang |
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Neural Networks (nn) Support Vector Machines
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Klaus-Robert Muller |
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Statistical Learning Techniques
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Peter Buhlmann |
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Computational Methods in Survival Analysis
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Toshinari Kamakura |
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Part IV
Selected Applications Finance
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Rafal Weron |
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Econometrics
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Luc Bauwens |
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Bioinformatics
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Iosif Vaisman |
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Functional MRI
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William F. Eddy |
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Network Intrusion Detection
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David Marchette |
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