When writing a presentation we might want to use a bullet list to highlight some key points that might be lost if they are part of a large body of text. We can use the standard LaTeX environments for creating lists within a beamer presentation in a straightforward way. Fast Tube by Casper The bullet lists can
In math and economics, there is a long, proud history of placing imaginary prisoners into nasty, complicated scenarios. We have, of course, the classic Prisoner’s Dilemma, as well as 100 prisoners and a light bulb. Add to that list the focus of this post, 100 prisoners and 100 boxes. In this game, the warden places
In a previous post we looked at using the LaTeX beamer package to create presentations. Given a title page and outline of a presentation the next stage will be to create the content that appears in various slides of the presentation. Fast Tube by Casper To create a slide we make use of the frame environment and
There are a lot of great references on the web on how to levarage LaTeX for reporting and presentations (beamer), but as someone who is completely new to R and reproducible research, I was having a pretty hard time figuring out simply what to do (what tools, where do you edit, etc.). Eclipse as a 
The LaTeX beamer package can be used to create appealing presentations for many applications. A working knowledge of LaTeX is required but once the initial learning curve and transition is made from a visual word processor to a markup based approach the benefits are worth the initial investment of time. Title Pages In a previous post we
Objective I’ll admit it: my résumé doesn’t stand out. I’ve had some great internships, but also a tendency to work for companies that aren’t (yet!) household names. And though I’m doing fine academically, it’s not well enough to stand out … Continue reading →
Martin Weinberg posted on arXiv a revision of his paper, Computing the Bayesian Factor from a Markov chain Monte Carlo Simulation of the Posterior Distribution, that is submitted to Bayesian Analysis. I have already mentioned this paper in a previous post, but I remain unconvinced of the appeal of the paper method, given that it 
Sample once from the Uniform(0,1) distribution. Call the resulting value . Multiply this result by some constant . Repeat the process, this time sampling from Uniform(0, ). What happens when the multiplier is 2? How big does the multiplier have to be to force divergence. Try it and see: iters = 200 locations = rep(0,iters)
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
