2341 search results for "twitteR"

density()

June 27, 2011
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density()

Following my earlier posts on the revision of Lack of confidence, here is an interesting outcome from the derivation of the exact marginal likelihood in the Laplace case. Computing the posterior probability of a normal model versus a Laplace model in the normal (gold) and the Laplace (chocolate) settings leads to the above histogram(s), which

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RghcnV3 version 1.1

June 27, 2011
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RghcnV3 version 1.1

I’ve just uploaded version 1.1 of  the package RghcnV3 to Cran. I’ve made a few changes that should make it easier for some folks to use. First I removed the requirement for rgdal. At the present time “rgdal” is not required. On the MAC installing it can be a little trouble, but if you RTFM

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Bayesian Fall school in La Rochelle

June 26, 2011
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Bayesian Fall school in La Rochelle

The French agronomy research institute INRA is organising a Fall school in La Rochelle, Nov. 28 – Dec. 02, on Bayesian methods, oriented towards the applications in food sciences, environmental sciences, and biology. The provisional program (in French) is ■ Initiation aux outils informatiques R et WinBUGS (TP et réalisation de projets sur ordinateur) ■

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Normal tail precision

June 25, 2011
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Normal tail precision

In conjunction with the normal-Laplace comparison mentioned in the most recent post about our lack of confidence in ABC model choice, we have been working on the derivation of the exact Bayes factor and I derived an easy formula for the marginal likelihood in the Laplace case that boils down to a weighted sum of

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Confidence, Ending Equity, and What I Can Do as the Money Manager

June 24, 2011
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Confidence, Ending Equity, and What I Can Do as the Money Manager

I wrote this as my quarterly commentary, but compliance blocked it because they said I was implying that I am Warren Buffett or I can replicate Warren Buffett.  Anyways, I thought I should share it as a general discussion piece.  More than on...

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Package RghcnV3

June 22, 2011
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Package RghcnV3

I am down to the last strokes of creating a package for downloading, importing and analyzing GHCN (Global Historical Climate Network0 Version 3.  There  were a few things holding me up, but  I’ve manged to handle all of them except the last one.  Let’s spend a little time looking at the package process so you

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A heap of PhD studentships at UCL

June 21, 2011
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A heap of PhD studentships at UCL

Mark Girolami sent me this announcement for six PhD studentships in Statistical Methodology and Its Application at University College London (UCL) that are great opportunities for anyone interested in computational statistics! The studentships are attached to the Department of Statistical Science at University College London, and a subset of them are UCL Impact awards. Impact

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A year of Chicago’s crime, in 30 seconds

June 21, 2011
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Yesterday Brett Goldstein, the Chief Data Officer for the City of Chicago, announced on Twitter the release of Chicago’s crime data for the past year. The data is very detailed, and wonderful resource for criminologist and social scientists alike. I have been playing around with the data a bit, and have produced an animation

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Five things Biologists should know about Statistics

June 21, 2011
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In a thoughtful blog post, Bioinformatician Ewan Birney (Head of Nucleotide Data at the European Bioinformatics Institute) talks about the importance of Statistics to biologists: Biology is really about stats. Indeed, the foundation of much of frequentist statistics - RA Fisher and colleagues - were totally motivated by biological problems. He also cites the "Five statistical things I wished...

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R in the Bioinformatics Knowledgeblog

June 21, 2011
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The Knowledge Blog progect is a new, light-weight way of publishing scientific, academic and technical knowledge on the web, across several scientific disciplines. One such discipline is bioinformatics, and the Bioinformatics Knowledgeblog contains useful scientific reference material for bioinformatics, including several resources for R users. There you'll find an R Guide for Complete Beginners, a tutorial on analyzing microarray...

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