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Cute Gibbs sampling for rounded observations
I was attending a course of Bayesian Statistics where this problem showed up: There is a number of individuals, say 12, who take a pass/fail test 15 times. For each individual we have recorded the number of passes, which can go from 0 to 15. Because of confidentiality issues, we are presented with rounded-to-the-closest-multiple-of-3 data […]
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Analyzing a simple experiment with heterogeneous variances using asreml, MCMCglmm and SAS
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 effect and family and block as a random effects, while the response variable is growth […]
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INLA: Bayes goes to Norway
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 on direct numerical integration (rather than simulation as in MCMC) which, according to people ‘in […]
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R, Julia and genome wide selection
— “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 to assume that I was the proverbial old dog unwilling (or was it unable?) to […]
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Mid-January flotsam: teaching edition
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: