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Earlier this month, Daniel Sabanés Bové and Leo Held posted a paper about g-priors on arXiv. While I glanced at it for a few minutes, I did not have the chance to get a proper look at it till last Sunday. The g-prior was first introduced by the late Arnold Zellner for (standard) linear models, 
Peter Aldhous and Jim Giles -- from New Scientist's San Francisco bureau -- are looking for a statistician and R user to take part in an interesting data analysis challenge, and also be part of a future article in the magazine. They were inspired by this rather tongue-in-cheek presentation where Sebastian Wernicke analyzed videos, transcripts and ratings of TED...
This is a follow up to my recent post introducing the use of JAGS in R through the rjags package. In the comments on that post, Bernd Weiss encouraged me to write a short addendum that describes diagnostic functions that you should use to assess the output from an MCMC sampler. I’ve only been using
Yesterday, a commenter reminded me of the very popular hobby among scientists of searching for power-law distributions in large event data. While the commonality of scale invariance in event data is quite well known—particularly with respect to conflict data—this has not prevented many researchers from seeking and finding these patterns in data.
As the commenter notes,
We’re starting to get more divisions reporting two-candidate preferred numbers by vote type. The emerging picture (literally) is one in which Labor’s performance on the pre-polls and postals is lagging its performance in ordinary votes. On the other hand, Labor seems to be doing well among absentee voters (the regression line sitting above the 45
Although I use Excel all the time, and I strongly encourage my students to use it for performance analysis and CaP, I was forced to include a warranty disclaimer in my GCaP book because I discovered a serious numerical error while writing Appendix B. There, my intention was just to show that Excel gives essentially the same results...
Although I use Excel all the time, and I strongly encourage my students to use it for performance analysis and CaP, I was forced to include a warranty disclaimer in my GCaP book because I discovered a serious numerical error while writing Appendix B. There, my intention was just to show that Excel gives essentially the same results...
For the last two cycles I’ve done some simple regression analysis of the informal vote. I saw Possum have his go at it, using a specification that is virtually the same as what I’ve run in the past (2007, 2004). The 2010 edition follows. As usual, electorate-level informality in House of Reps voting increases with
I wrote a short talk demonstrating the use the R package {estout} for tonight’s New England R Users Group meeting. NB this is not a discussion of the econometric model, but rather a demonstration of how to get publication-quality results out of R efficiently. The basic functions of {estout} are modeled on the Stata package estout. 
In a two-part series at the Los Angeles R User Group, Ryan Rosario took a look at the many ways you can take the R language to the limits of high-performance computing. In Part I (see video at this link; slides and code also available), Ryan focuses on the various methods of parallel computing in R. There's some great...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
