Posts Tagged ‘ Bayesian statistics ’

Interpreting posterior probabilities in the context of weakly informative priors

June 28, 2015
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Nathan Lemoine writes: I’m an ecologist, and I typically work with small sample sizes from field experiments, which have highly variable data. I analyze almost all of my data now using hierarchical models, but I’ve been wondering about my interpretation of the posterior distributions. I’ve read your blog, several of your papers (Gelman and Weakliem, […] The post Interpreting posterior probabilities in the context of weakly informative priors appeared first…

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arXiv frenzy

June 23, 2015
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arXiv frenzy

In the few past days, there has been so many arXiv postings of interest—presumably the NIPS submission effect!—that I cannot hope to cover them in the coming weeks! Hopefully, some will still come out on the ‘Og in a near future: arXiv:1506.06629: Scalable Approximations of Marginal Posteriors in Variable Selection by Willem van den Boom, […]

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Job advert

June 22, 2015
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Job advert

This is an interesting post just advertised at Imperial College London by Marta.Department of Epidemiology and BiostatisticsSchool of Public HealthResearch Associate in BiostatisticsSalary: £33,410 to £42,380 per annumDuration: 3 years fixe...

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Back log

June 22, 2015
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Back log

Last week I went to Madrid to examine a PhD (I've mentioned this in another post). The thesis was focussed on a mixture of computer science and health economics $-$ in particular, much of the work was about developing suitable algorithms for running ef...

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How tall is Kit Harrington? Stan wants to know.

June 16, 2015
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How tall is Kit Harrington?  Stan wants to know.

We interrupt our regularly scheduled programming for a special announcement. Madeleine Davies writes: “Here are some photos of Kit Harington. Do you know how tall he is?” I’m reminded, of course, of our discussion of the height of professional tall person Jon Lee Anderson: Full Bayes, please. I can’t promise publication on Gawker, but I’ll […] The post How tall is Kit Harrington? Stan wants to know. appeared first on…

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“Best Linear Unbiased Prediction” is exactly like the Holy Roman Empire

June 10, 2015
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Dan Gianola pointed me to this article, “One Hundred Years of Statistical Developments in Animal Breeding,” coauthored with Guilherme Rosa, which begins: Statistical methodology has played a key role in scientific animal breeding. Approximately one hundred years of statistical developments in animal breeding are reviewed. Some of the scientific foundations of the field are discussed, […] The post “Best Linear Unbiased Prediction” is exactly like the Holy Roman Empire appeared…

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The posterior distribution of the likelihood ratio as a summary of evidence

June 9, 2015
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Gabriel Marinello writes: I am a PhD student in Astrophysics and am writing this email to you because an enquiry about point null hypothesis testing (H0: Theta = Theta0 and H1: Theta != Theta0) in a bayesian context and I think that your pragmatic stance would be helpful. In Astrophysics is not rare to find […] The post The posterior distribution of the likelihood ratio as a summary of evidence…

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Survival of the fittest (health economic model)

June 8, 2015
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Survival of the fittest (health economic model)

To make up for the fact that we've missed a couple of slots over the past months in our seminar series, we thought we organised a more structured event. So, our next seminar will in fact be a workshop and will be held at UCL on 7 July from 1.30pm ...

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Video seminar

June 8, 2015
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Later this week, I'm off to Madrid to examine a PhD candidate at UNED (that's the Spanish Open University). This is interesting work on probabilistic network for health economic evaluation, so it should be good.As part of my trip, I'll also give a...

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A quick one

June 5, 2015
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Fabio Rojas asks: Should I do Bonferroni adjustments? Pros? Cons? Do you have a blog post on this? Most social scientists don’t seem to be aware of this issue. My short answer is that if you’re fitting mutlilevel models, I don’t think you need mu...

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