Posts Tagged ‘ Books ’

Carnon [and Core, end]

June 15, 2012
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Carnon [and Core, end]

Yet another full day working on Bayesian Core with Jean-Michel in Carnon… This morning, I ran along the canal for about an hour and at last saw some pink flamingos close enough to take pictures (if only to convince my daughter that there were flamingos in the area!). Then I worked full-time on the spatial

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\STATE [algorithmic package]

June 7, 2012
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\STATE [algorithmic package]

I fought with my LαTεX compiler this morning as it did not want to deal with my code: looking on forums for incompatibilities between beamer and algorithmic, and adding all kinds of packages, to no avail. Until I realised one \STATE was missing: (This is connected with my AMSI public lecture on simulation, obviously!) Filed

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PLoS topic page on ABC

June 6, 2012
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PLoS topic page on ABC

A few more comments on the specific entry on ABC written by Mikael Sunnåker et al…. The entry starts with the representation of the posterior probability of an hypothesis, rather than with the posterior density of a model parameter, which seems to lead the novice reader astray. After all, (a) ABC was not introduced for

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Review: “Forest Analytics with R: an introduction”

May 29, 2012
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Review: “Forest Analytics with R: an introduction”

Forestry is the province of variability. From a spatial point of view this variability ranges from within-tree variation (e.g. modeling wood properties) to billions of trees growing in millions of hectares (e.g. forest inventory). From a temporal point of view … Continue reading →

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ABC+EL=no D(ata)

May 27, 2012
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ABC+EL=no D(ata)

It took us a loooong while but we finally ended up completing a paper on ABC using empirical likelihood (EL) that was started by me listening to Brunero Liseo’s tutorial in O’Bayes-2011 in Shanghai… Brunero mentioned empirical likelihood as a semi-parametric technique w/o much Bayesian connections and this got me thinking

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Bayes on drugs (guest post)

May 20, 2012
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Bayes on drugs (guest post)

This post is written by Julien Cornebise. Last week in Aachen was the 3rd Edition of the Bayes(Pharma) workshop. Its specificity: half-and-half industry/academic participants and speakers, all in Pharmaceutical statistics, with a great care to welcome newcomers to Bayes, so as to spread as much as possible the love where it will actually be used.

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Data Science Books for Computational Journalists

May 8, 2012
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There are quite a few books out now on “data science”. I’ve picked out three that I think are the best place to start for computational journalists. First is Machine Learning for Hackers, by Drew Conway and John Myles White. The autho...

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what’s wrong with package comment?!

May 3, 2012
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what’s wrong with package comment?!

I spent most of the Sunday afternoon trying to understand why defining did not have the same effect as writing the line until I found there is a clash due to the comment package… The assuredly simple code produces an error message: This is quite an inconvenience as I need to compile my solution manual

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simulated annealing for Sudokus [2]

March 16, 2012
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simulated annealing for Sudokus [2]

On Tuesday, Eric Chi and Kenneth Lange arXived a paper on a comparison of numerical techniques for solving sudokus. (The very Kenneth Lange who wrote this fantastic book on numerical analysis.) One of these techniques is the simulated annealing approach I had played with a long while ago.  They seem to use the same penalisation

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IS vs. self-normalised IS

March 11, 2012
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IS vs. self-normalised IS

I was grading my Master projects this morning and came upon this graph: which compares the variability of an importance-sampling estimator versus its self-normalised alternative… This is an interesting case in that self-normalisation does considerably degrade the quality of the approximation in that setting. In other cases, self-normalisation may bring a clear improvement. (This reminded

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