![Multidimension bridge sampling (CoRe in CiRM [5])](http://www.r-bloggers.com/wp-content/uploads/2010/07/cda_displayimage4.jpg?SGWID=0-0-16-301393-0)
Since Bayes factor approximation is one of my areas of interest, I was intrigued by Xiao-Li Meng’s comments during my poster in Benidorm that I was using the “wrong” bridge sampling estimator when trying to bridge two models of different dimensions, based on the completion (for and missing from the first model) When revising the 
I take an almost unhealthy pleasure in pushing my computer to its limits. This has become easier with Revolution R and its free license for academic use. One of its best features is debugger that allows you to step through … Continue reading →
...continuing my sloth-like progress through John Verzani's Using R for Introductory Statistics. Previous installments: Chapters 1 and 2 and 3.1. Comparing independent samples Boxplots provide a visual comparison between two or more distributions. Fo...
...continuing my sloth-like progress through John Verzani's Using R for Introductory Statistics. Previous installments: Chapters 1 and 2 and 3.1. Comparing independent samples Boxplots provide a visual comparison between two or more distributions. Fo...
In connection with the Valencia 9 meeting that started yesterday, and with Hedie‘s talk there, we have posted on arXiv a set of comments on particle learning. The arXiv paper contains several discussions but they mostly focus on the inevitable degeneracy that accompanies particle systems. When Lopes et al. state that is not of interest 
Matt Asher posted an R experiment on R-bloggers yesterday simulating the random walk which has the property of avoiding zero by quickly switching to a large value as soon as is small. He was then wondering about the “convergence” of the random walk given that it moves very little once is large enough. The values 
The Case-Shiller Home Price Indices measure residential home values for 20 cities in the US, with some indices going all the way back to the 80s. With housing prices all the rage these days, we should perform a quick-and-dirty analysis using R to see what we can glean from this rich dataset. First things
I'm working my way through Using R for Introductory Statistics, by John Verzani, a free version of which is available as SimpleR. Chapter 1 ...covers basics of R such as arithmetic, loading libraries and reading data. We also get an introduction to v...
A box and whisker plot is a type of graphical display that can be used to summarise a set of data based on the five number summary of this data. The summary statistics used to create a box and whisker plot are the median of the data, the lower and upper quartiles (25% and 75%)
I created an example to show how the theory from part 1 might be applied using S&P500 as a proxy for performance. Just in case anyone viewing is not familiar with terminal wealth, it is the final (usually compounded) ending value (hence, terminal) of ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
