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

From Sean_Carver
Jump to: navigation, search
Line 1: Line 1:
 
'''Much of my current research involves projects related to the statistical analysis of models using simulated data.'''
 
'''Much of my current research involves projects related to the statistical analysis of models using simulated data.'''
  
* '''Overlapping software projects: [https://github.com/seancarverphd/klir KLI_R] (R/Github/Git) and [https://bitbucket.org/seancarverphd/kli/ KLI] (Python/Bitbucket/Mercurial).  
+
* '''Overlapping software projects:''' [https://github.com/seancarverphd/klir KLI_R] (R/Github/Git) and [https://bitbucket.org/seancarverphd/kli/ 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.
 
::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
 
* '''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

Revision as of 00:54, 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 Yankees are playing. This statistic is an interesting way of