Shrinkage Estimator for Bayesian Network Parametrs

Posted in Science on September 12, 2008


Shrinkage Estimator for Bayesian Network Parametrs

Lecture slides:

  • Shrinkage Estimator for Bayesian Network Parameters
  • Outline
  • High-Level Overview
  • Neuroimaging Application
  • Find Correlations Among RVs
  • Model with Bayesian Networks
  • Bayesian Network Model Selection
  • Parameterizing Bayesian Networks
  • Laplacian Smoothing
  • Shrinkage
  • ROI Hierarchy
  • How Much to Smooth?
  • Calculating Mixture Weights
  • Mixing Weights for Neuroimaging Data
  • Results
  • Simulated Data Results Laplacian Smoothing Constant
  • Results
  • Results: Likelihood of Left-Out Data
  • Conclusions
  • Acknowledgements
  • Thank You!

Author: John Burge, University Of New Mexico

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Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Bayesian Learning