Statistics

Statistics Blogs

More Pipes in R

December 16, 2017
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More Pipes in R

Was enjoying Gabriel’s article Pipes in R Tutorial For Beginners and wanted call attention to a few more pipes in R (not all for beginners). data.table has essentially used the square bracket sequence “][” in a manner equivalent to piping in R since about 2006. Here is an example. The Bizarro Pipe “->.;” has always … Continue reading More Pipes in R

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Reading for the Holidays

December 15, 2017
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Reading for the Holidays

Here are some suggestions for your Holiday reading:Athey, S. and G. Imbens, 2016. The state of econometrics - Causality and policy evaluation. Mimeo., Graduate School of Business, Stanford University.Cook, J. D., 2010. Testing a random number generator...

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A big problem in our community

December 14, 2017
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A big problem in our community

Hi all, Kristian Lum, who was already one of my Statistics superheroes for her many interesting papers and great talks, bravely wrote the following text about her experience as a young statistician going to conferences: https://medium.com/@kristianlum/statistics-we-have-a-problem-304638dc5de5 I can’t thank Kristian enough for speaking out. Her experience is both shocking and hardly surprising. Many, many academics […]

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Lessons for a budding Social Enterprise from Elevate

December 14, 2017
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Lessons for a budding Social Enterprise from Elevate

Statistics Learning Centre is a social enterprise set up by Dr Nic Petty and Dr Shane Dye after leaving the University of Canterbury. Our aim is to help the world to feel better about mathematics and statistics, by inventing, creating … Continue reading →

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Getting started with seplyr

December 14, 2017
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Getting started with seplyr

A big “thank you!!!” to Microsoft for hosting our new introduction to seplyr. If you are working R and big data I think the seplyr package can be a valuable tool. For how and why, please check out our new introductory article. Note: now that wrapr version 1.0.2 is up on CRAN all of the … Continue reading Getting started with seplyr

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More on the Problem with Bayesian Model Averaging

December 10, 2017
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I blogged earlier on a problem with Bayesian model averaging (BMA) and gave some links to new work that chips away at it. The interesting thing about that new work is that it stays very close to traditional BMA while acknowledging that all models are m...

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How can a statistician help a lawyer?

December 9, 2017
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How can a statistician help a lawyer?

I’ll be presenting at a webinar on Wednesday, December 13 at 1:00 PM Eastern. The title of the presentation is “Seven questions a statistician and answer for an attorney.” I will discuss, among other things, when common sense applies and when correct analysis can be counter-intuitive. There will be ample time at the end of […]

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Books to Read While the Algae Grow in Your Fur, June 2016

December 9, 2017
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Attention conservation notice: I have no taste. Oliver Morton, The Planet Remade: How Geoengineering Could Change the World This is just as impressive, enlightening, gracefully-written and thoughtful as I'd expect from the author of Eaters of the S...

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The myth of interpretability of econometric models

December 9, 2017
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The myth of interpretability of econometric models

There are important discussions nowadays about data modeling, to choose between the “two cultures” (as mentioned in Breiman (2001)), i.e. either econometrics models or machine/statistical learning models. We did discuss this issue recently in Econométrie et Machine Learning (so far only in French) with Emmanuel Flachaire and Antoine Ly. One argument often used by econometricians is the interpretability of econometric models. Or at least the attempt to get an interpretable…

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Primer on the limitation of current AI

December 7, 2017
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Kaiser Fung, founder of Principal Analytics Prep and Columbia's MS in Applied Analytics, discusses an article by Rodney Brooks (MIT) on the future of AI.

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