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Outline

Exploratory and Confirmatory Data Analysis   week 1
Motivating Examples   week 1
  Easy Problems where other methods are available  
  Hard Problems where this is the only game in town  
Computational Aspects   week 2
  Monte Carlo Methods  
  Balanced Bootstrap  
  Complete Enumeration?  
Theoretical Aspects   week 3
  The plugin principle  
  Nonparametric and Parametric  
Other resampling Methods   week 4
  The jackknife  
  Cross Validation  
Confidence Regions   week 5
  Confidence Intervals  
  Smoothed Bootstrap  
  Multivariate bootstrap  
Bootstrapping for regression   week 6
  Bootstrapping the rows  
  Bootstrapping the residuals  
  Multivariate regression and pitfalls  
Nonparametric Hypotheses Testing   week 7
  With the bootstrap  
  With permutations  
Dependent Data   week 8
  Time Series  
  Block bootstrap for time series  
  Spatial Statistics  
Better bootstraps   week 9
  Jackknife-after-Bootstrap  
  Bootstrap-after-Bootstrap  
  Corrected Bootstrapping  
  Theory:pivotal statistics  
Software Matlab or Splus, as you wish.
Text Efron B., and Tibshirani R. (1993), An Introduction to the Bootstrap, Chapman and Hall.


next up previous
Next: Labs and Homeworks Up: Introduction to the Bootstrap Previous: Logistics
Susan Holmes 2004-05-19