Difference between revisions of "Sean G. Carver's Research Interests"

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::These projects involve, among other things, computing the number of samples needed to reject an alternative model with the likelihood ratio test, in favor of a true model that produces the data.
 
::These projects involve, among other things, computing the number of samples needed to reject an alternative model with the likelihood ratio test, in favor of a true model that produces the data.
  
* '''Baseball:''' how many innings must be played by model of the Baltimore Orioles (fitted from actual Orioles home games) to reject the model that the Yankees are playing.  This statistic is an interesting way of
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* '''Baseball:''' how many innings must be played by model of the Baltimore Orioles (fitted from actual Orioles home games) to reject the model that the New York Yankees are playing.   
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::This statistic is an interpretable way of quantifying the similarity of models.

Revision as of 00:56, 14 May 2017

Much of my current research involves projects related to the statistical analysis of models using simulated data.

  • Overlapping software projects: KLI_R (R/Github/Git) and KLI (Python/Bitbucket/Mercurial).
These projects involve, among other things, computing the number of samples needed to reject an alternative model with the likelihood ratio test, in favor of a true model that produces the data.
  • Baseball: how many innings must be played by model of the Baltimore Orioles (fitted from actual Orioles home games) to reject the model that the New York Yankees are playing.
This statistic is an interpretable way of quantifying the similarity of models.