Whassup with Bart?

Been wondering about the myself. But Robert Gramacy's extension to Treed Gaussian Processes is forthcoming in JASA.

One of the top papers on your list -- about 4th or 5th down -- appeared in JMR a couple of years ago.

A Direct Approach to Data Fusion - all 16 versions »
ZVI GILULA, RE MCCULLOCH, PE ROSSI - papers.ssrn.com
Page 1. A Direct Approach to Data Fusion Zvi Gilula Department of Statistics
Hebrew University Robert E. McCulloch Peter E. Rossi

appears in
Journal of Marketing Research, vol 43, Feb 2006

It's a marketing article, and JMR is a top journal in this field.

The paper below, third on your list, was published in the Journal of Marketing Research (a top marketing journal) in February, 2006.

A Direct Approach to Data Fusion - all 16 versions »
ZVI GILULA, RE MCCULLOCH, PE ROSSI - papers.ssrn.com
Page 1. A Direct Approach to Data Fusion Zvi Gilula Department of Statistics
Hebrew University Robert E. McCulloch Peter E. Rossi ...

Maybe is the language they use. It is only intelligible to motivated Bayesians. A more accessible version is needed than this:

"Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis elements. Motivated by ensemble methods in general, and boosting algorithms in particular, BART is defined by a statistical model: a prior and a likelihood."

Marketing of one's research is very important, they ain't doing themselves any favors.

I find a piece of research to be really good when it can be very impressive in the plainest of languages.

ArXiv.org has a copy of the BART paper:

http://arxiv.org/pdf/0806.3286

They are pretty good marketers actually; I have been to one of their talks, hosted by Andrew. I pointed a friend to this method; apparently, it's missing a predict method.

An application paper in a marketing journal is fine, and Arxiv is fine also, but I'm surprised not to see a paper describing the key ides of the method in a statistics journal.