Posts Tagged ‘ Bayesian ’

Analyzing a simple experiment with heterogeneous variances using asreml, MCMCglmm and SAS

May 17, 2013
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I was working with a small experiment which includes families from two Eucalyptus species and thought it would be nice to code a first analysis using alternative approaches. The experiment is a randomized complete block design, with species as fixed … Continue reading →

Bayesian and Frequentist Approaches: Ask the Right Question

May 6, 2013
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It occurred to us recently that we don’t have any articles about Bayesian approaches to statistics here. I’m not going to get into the “Bayesian versus Frequentist” war; in my opinion, which style of approach to use is less about philosophy, and more about figuring out the best way to answer a question. Once you [...] Related posts: Statistics to English Translation, Part 2a: ’Significant’ Doesn’t Always Mean ’Important’ Worry…

Free e-Copy of Bayesian Computation with R (Use R)

April 24, 2013
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Amazon is currently making the first edition of Bayesian Computation with R (Use R) by Jim Albert available for free on Kindle. I own a copy of the book and there is a lot of good content and R examples on how one can do general Bayesian statistics.  The R scripts  from the book (2nd edition but [...]

Introduction to Approximate Bayesian Computation (ABC)

March 31, 2013
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$Introduction to Approximate Bayesian Computation (ABC)$

Many of the posts in this blog have been concerned with using MCMC based methods for Bayesian inference. These methods are typically “exact” in the sense that they have the exact posterior distribution of interest as their target equilibrium distribution, but are obviously “approximate”, in that for any finite amount of computing time, we can […]

Offended by conditional probability

February 13, 2013
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It’s a simple rule of probability that if A makes B more likely, B makes A more likely. That is, if the conditional probability of A given B is larger than the probability of A alone, the the conditional probability…Read more ›

Closet Bayesian

January 3, 2013
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When I was a grad student, a statistics postdoc confided to me that he was a “closet Bayesian.” This sounded absolutely bizarre. Why would someone be secretive about his preferred approach to statistics? I could not imagine someone whispering that…Read more ›

Nate Silver is a Frequentist: Review of “the signal and the noise”

December 6, 2012
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Reblogged from Normal Deviate: Nate Silver Is A Frequentist Review of ``the signal and the noise'' by Nate Silver There are not very many self-made statisticians, let alone self-made statisticians who become famous and get hired by the New York Times. Nate Silver is a fascinating person. And his book the signal and the noise, […]

Getting started with Bayesian variable selection using JAGS and rjags

November 20, 2012
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$Getting started with Bayesian variable selection using JAGS and rjags$

Bayesian variable selection In a previous post I gave a quick introduction to using the rjags R package to access the JAGS Bayesian inference from within R. In this post I want to give a quick guide to using rjags for Bayesian variable selection. I intend to use this post as a starting point for […]

November 11, 2012
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Statisticians have been deconstructed! I feel vaguely insulted, although I have to admit I’m not even sure I know what the article says. This line is a doozy though: “Statistics always pulls back from the claims it makes…” As a...