Posts Tagged ‘ R ’

The Zero Bug

February 21, 2017
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The Zero Bug

I am going to write about an insidious statistical, data analysis, and presentation fallacy I call “the zero bug” and the habits you need to cultivate to avoid it. The zero bug Here is the zero bug in a nutshell: common data aggregation tools often can not “count to zero” from examples, and this causes … Continue reading The Zero Bug

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Coming soon!

February 21, 2017
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Coming soon!

We've just received a picture of the cover of the BCEA book, which is really, really close to being finally published!I did mention this in a few other posts (for example here and here) and it has been in fact a rather long process, so much so tha...

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coauthorship and citation networks

February 20, 2017
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coauthorship and citation networks

As I discovered (!) the Annals of Applied Statistics in my mailbox just prior to taking the local train to Dauphine for the first time in 2017 (!), I started reading it on the way, but did not get any further than the first discussion paper by Pengsheng Ji and Jiashun Jin on coauthorship and […]

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coauthorship and citation networks

February 20, 2017
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coauthorship and citation networks

As I discovered (!) the Annals of Applied Statistics in my mailbox just prior to taking the local train to Dauphine for the first time in 2017 (!), I started reading it on the way, but did not get any further than the first discussion paper by Pengsheng Ji and Jiashun Jin on coauthorship and […]

Read more »

coauthorship and citation networks

February 20, 2017
By
coauthorship and citation networks

As I discovered (!) the Annals of Applied Statistics in my mailbox just prior to taking the local train to Dauphine for the first time in 2017 (!), I started reading it on the way, but did not get any further than the first discussion paper by Pengsheng Ji and Jiashun Jin on coauthorship and […]

Read more »

A knapsack riddle [#2]?

February 16, 2017
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A knapsack riddle [#2]?

Still about this allocation riddle of the past week, and still with my confusion about the phrasing of the puzzle, when looking at a probabilistic interpretation of the game, rather than for a given adversary’s y, the problem turns out to search for the maximum of where the Y’s are Binomial B(100,p). Given those p’s, […]

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Excel Histograms, enhanced with R.

February 13, 2017
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Most people are familiar with Excel Histograms and understand that data is divided into a series of intervals, or bins and then how many values are in each bin are counted. These counts or frequencies are then typically shown on a chart that uses a bar...

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a knapsack riddle?

February 12, 2017
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a knapsack riddle?

The [then current now past] riddle of the week is a sort of multiarmed bandits optimisation. Of sorts. Or rather a generalised knapsack problem. The question is about optimising the allocation of 100 undistinguishable units to 10 distinct boxes against a similarly endowed adversary, when the loss function is and the distribution q of the […]

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Video Introduction to Bayesian Data Analysis, Part 1: What is Bayes?

February 12, 2017
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Video Introduction to Bayesian Data Analysis, Part 1: What is Bayes?

This is video one of a three part introduction to Bayesian data analysis aimed at you who isn’t necessarily that well-versed in probability theory but that do know a little bit of programming. I gave a version of this tutorial at the UseR 2015 conf...

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Announcing the wrapr packge for R

February 11, 2017
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Announcing the wrapr packge for R

Recently Dirk Eddelbuettel pointed out that our R function debugging wrappers would be more convenient if they were available in a low-dependency micro package dedicated to little else. Dirk is a very smart person, and like most R users we are deeply in his debt; so we (Nina Zumel and myself) listened and immediately moved … Continue reading Announcing the wrapr packge for R

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