330 search results for "evaluation"

Bayesian Naive Bayes for Classification with the Dirichlet Distribution

July 14, 2014
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I have a classification task and was reading up on various approaches. In the specific case where all inputs are categorical, one can use “Bayesian Naïve Bayes” using the Dirichlet distribution.  Poking through the freely available text by Barber, I found a rather detailed discussion in chapters 9 and 10, as well as example matlab code for the...

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Le Monde puzzle [#875]

July 11, 2014
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Le Monde puzzle [#875]

I learned something in R today thanks to Le Monde mathematical puzzle: A two-player game consists in A picking a number n between 1 and 10 and B and A successively choosing and applying one of three transforms to the current value of n n=n+1, n=3n, n=4n, starting with B, until n is larger than

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Are Consumer Preferences Deep or Shallow?

July 8, 2014
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Are Consumer Preferences Deep or Shallow?

John Hauser, because no one questions his expertise, is an excellent spokesperson for the viewpoint that consumer preferences are real, as presented in his article "Self-Reflection and Articulated Consumer Preferences." Simply stated, preferences are e...

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analyze the demographic and health surveys (dhs) with r

July 8, 2014
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professors of public health 101 probably cite the results of the demographic and health surveys (dhs) more than all other data sources combined.  funded by the united states agency for international development (usaid) and administered by the tech...

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DSC 2014. Day 1

July 7, 2014
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DSC 2014. Day 1

This is a report of the first day of the Directions in Statistical Computing (DSC) conference that took place in Brixen, Italy (See here for an introduction). Performance enhancements were the main theme of the day, covering not just improvements … Continue reading →

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Automatic bias correction doesn’t fix omitted variable bias

July 4, 2014
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Automatic bias correction doesn’t fix omitted variable bias

Page 94 of Gelman, Carlin, Stern, Dunson, Vehtari, Rubin “Bayesian Data Analysis” 3rd Edition (which we will call BDA3) provides a great example of what happens when common broad frequentist bias criticisms are over-applied to predictions from ordinary linear regression: the predictions appear to fall apart. BDA3 goes on to exhibit what might be considered Related posts:

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Short course: Bayesian methods in health economics

July 2, 2014
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Chris, Richard and I tested this last March in Canada (see also here) and things seem to have gone quite well. So we have decided to replicate the experiment (so that we can get a bigger sample size!) and do the short course this coming November (...

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2014 UseR conference, days 1-2

July 2, 2014
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2014 UseR conference, days 1-2

I’m at UCLA for the UseR Conference. I attended once before, and I really enjoyed it. And I’m really enjoying this one. I’m learning a ton, and I find the talks very inspiring. In my comments below, I give short shrift to some speakers (largely by not having attended their talks), and I’m critical in

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R/Finance 2014 Review

June 30, 2014
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It's been more than a month since R/Finance 2014, and my job has finally slowed down enough to allow me to write down my thoughts (though I'm writing this over two days during my train to and from Chicago).The comments below are based on my personal ex...

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Review of Applied Predictive Modeling by Kuhn and Johnson

June 26, 2014
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Review of Applied Predictive Modeling by Kuhn and Johnson

by Joseph Rickert Predictive Modeling or “Predictive Analytics”, the term that appears to be gaining traction in the business world, is driving the new “Big Data” information economy. Predictably, there is no shortage of material to be found on this subject. Some discussion of predictive modeling is sure to be found in any reasonably technical presentation of business decision...

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