INLA: Bayes goes to Norway

August 15, 2012 | Luis

INLA is not the Norwegian answer to ABBA; that would probably be a-ha. INLA is the answer to ‘Why do I have enough time to cook a three-course meal while running MCMC analyses?”. Integrated Nested Laplace Approximations (INLA) is based … Continue reading → [Read more...]

R, Julia and genome wide selection

April 24, 2012 | Luis

— “You are a pussy” emailed my friend. — “Sensu cat?” I replied. — “No. Sensu chicken” blurbed my now ex-friend. What was this about? He read my post on R, Julia and the shiny new thing, which prompted him … Continue reading → [Read more...]

Temperature Change in Ireland

April 7, 2012 | diffuseprior

Has Ireland gotten any warmer? Ask any punter on the street and they will happily inform you of wild swings, trends and dips. “Back when I was a child”, “when I was younger”, or “years ago” are the usual refrains. What’s the evidence? To answer this, I will use ... [Read more...]

Montreal R Workshop: Introduction to Bayesian Methods

March 22, 2012 | Corey Chivers

Monday, March 26, 2012  14h-16h, Stewart Biology N4/17 Corey Chivers, Department of Biology McGill University This is a meetup of the Montreal R User Group. Be sure to join the group and RSVP. More information about the workshop here. Topics Why would we want to be Bayesian in the first place?  ... [Read more...]

Mid-January flotsam: teaching edition

January 17, 2012 | Luis

I was thinking about new material that I will use for teaching this coming semester (starting the third week of February) and suddenly compiled the following list of links: William Briggs writes It is time to stop teaching Frequentism to … Continue reading → [Read more...]

Doing Bayesian Data Analysis now in JAGS

January 3, 2012 | Luis

Around Christmas time I presented my first impressions of Kruschke’s Doing Bayesian Data Analysis. This is a very nice book but one of its drawbacks was that part of the code used BUGS, which left mac users like me stuck. … Continue reading → [Read more...]

Bayesian inference and the parametric bootstrap

December 15, 2011 | xi'an

This paper by Brad Efron came to my knowledge when I was looking for references on Bayesian bootstrap to answer a Cross Validated question. After reading it more thoroughly, “Bayesian inference and the parametric bootstrap” puzzles me, which most certainly means I have missed the main point. Indeed, the paper ... [Read more...]

Tall big data, wide big data

December 12, 2011 | Luis

After attending two one-day workshops last week I spent most days paying attention to (well, at least listening to) presentations in this biostatistics conference. Most presenters were R users—although Genstat, Matlab and SAS fans were also present and not one … Continue reading → [Read more...]

If you are writing a book on Bayesian statistics

November 23, 2011 | Luis

This post is somewhat marginal to R in that there are several statistical systems that could be used to tackle the problem. Bayesian statistics is one of those topics that I would like to understand better, much better, in fact. … Continue reading → [Read more...]

Why balloons are better than balls (in urn schemes)

November 18, 2011 | BioStatMatt

The below is taken from a work in progress: The Polya urn is a heuristic associated with Dirichlet process mixtures. We present the scheme in a modified format, using balloons instead of balls, where the probability of drawing a balloon from the urn is proportional to its volume. Balloons are ... [Read more...]

Surviving a binomial mixed model

November 11, 2011 | Luis

A few years ago we had this really cool idea: we had to establish a trial to understand wood quality in context. Sort of following the saying “we don’t know who discovered water, but we are sure that it wasn’t … Continue reading → [Read more...]

Coming out of the (Bayesian) closet: multivariate version

November 7, 2011 | Luis

This week I’m facing my—and many other lecturers’—least favorite part of teaching: grading exams. In a supreme act of procrastination I will continue the previous post, and the antepenultimate one, showing the code for a bivariate analysis of a randomized … Continue reading → [Read more...]

Parameter vs. Observation Dimension?

October 24, 2011 | BioStatMatt

Bill Bolstad's response to Xi'an's review of his book Understanding Computational Bayesian Statistics included the following comment, which I found interesting: Frequentist p-values are constructed in the parameter dimension using a probability distribution defined only in the observation dimension. Bayesian credible intervals are constructed in the parameter dimension using a ... [Read more...]

Outlier Detection with DPM Slides from JSM 2011

August 5, 2011 | BioStatMatt

Here are the 14 slides I used during my talk at the Joint Statistical Meetings 2011: shotwell-jsm-2011.pdf. I'm trying hard to minimize the text in my presentation slides. But, this usually requires that I practice more. Hence, you will know which talks I have practiced thoroughly by the amount of text ... [Read more...]


July 7, 2011 | Daniel Hocking

I have been starting to analyze some data I have of repeated counts of salamanders from 5 plots over 4 years. I am trying to develop a predictive model of salamander nighttime surface activity as a function of weather variables. The repeated counting l...
[Read more...]
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