Over in my previous post, I’m giving away 3 copies of my video course on ggplot2 and shiny. To win a copy, you just need to leave a comment and I will select 3 winners among the n participants at … Continue reading →

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:

I’ve had a couple of months off from blogging. Time for some computer-assisted biology! Robert Griffin asks on Stack Exchange about finding the distance between HP1 binding sites and genes in Drosophila melanogaster. We can get a rough idea with some public chromatin immunoprecipitation data, R and the wonderful BEDTools. Finding some binding sites There

When we spend more money for attracting new customers then they bring us by the first but, usually, by the next purchases, we appeal to customer’s life-time value (CLV). We expect that customers will spend with us for years and it means we expect to earn some profit finally. In this case retention is vital parameter. Most of our... Read More »

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

Two of the most common methods of statistical inference are frequentism and Bayesianism (see Bayesian and Frequentist Approaches: Ask the Right Question for some good discussion). In both cases we are attempting to perform reliable inference of unknown quantities from related observations. And in both cases inference is made possible by introducing and reasoning over Related posts:

Experiment, be curious: though interfering friends may frown, get furious at each attempt to hold you down (Tony Bennett, Experiment) Instructions: Take a pencil and measure it Take a piece of paper and draw parallel lines on it (you can use the pencil, of course); separation between lines should double the length of the pencil Toss the pencil

You can either register from eventbrite or our school site NYC Data Science Academy. Date: Thursday/Friday , June 26th and 27th, 2014 Time: 9:00am to 5:00pm Location: 500 7th Ave, 17th Floor, glass door classroom, New York, NY 10018 NYC Data Science Academy, training subbrand of SupStat (Official Training partner with RStudio Inc) is hosting our... Read more »

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