Jesus (1) vs. Leo Tolstoy

February 18, 2015
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Jesus (1) vs. Leo Tolstoy

For yesterday we’ll have to go with Hobbes. As Zbicyclist put it: “A seminar that promises to be nasty, brutish — and short!” Jonathan put the anti-David argument well: “If there were ever someone who would try to bullshit his way through a seminar, it’s Larry David. Unprepared (with some excuse of course) and a […] The post Jesus (1) vs. Leo Tolstoy appeared first on Statistical Modeling, Causal Inference,…

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And the Rest…….

February 18, 2015
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And the Rest…….

Happy to make the cut! Thanks Noah, and BloombergView.© 2015, David E. Giles

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Philippine Infographic: Recapitulation on Incidents Involving Motorcycle Riding in Tandem Criminals for 2011-2013

February 18, 2015
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Philippine Infographic: Recapitulation on Incidents Involving Motorcycle Riding in Tandem Criminals for 2011-2013

The Philippine government has launched Open Data Philippines (data.gov.ph) last year, January 16, 2014. Accordingly, the data.gov.ph aims to make national government data searchable, accessible, and useful, with the help of the different agencies of go...

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Link: Joint Committee on Standards for Graphic Presentation (1915)

February 18, 2015
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An article in the Publications of the American Statistical Association by the Joint Committee on Standards for Graphic Presentation laid down some standards for how to create good data visualizations. In 1915. The chairman of that committee was none other than Willard C. Brinton, author of the highly opinionated (and much more complete) Graphic Methods for Presenting Facts. Andy … Continue reading Link: Joint Committee on Standards for Graphic Presentation (1915)

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Navigating Big Data Careers with a Statistics PhD

February 18, 2015
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Editor's note: This is a guest post by Sherri Rose. She is an Assistant Professor of Biostatistics in the Department of Health Care Policy at Harvard Medical School. Her work focuses on nonparametric estimation, causal inference, and machine learning in health settings. Dr. Rose received her BS in statistics from The George Washington University and her PhD in

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VB-Stan: Black-box black-box variational Bayes

February 18, 2015
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Alp Kucukelbir, Rajesh Ranganath, Dave Blei, and I write: We describe an automatic variational inference method for approximating the posterior of differentiable probability models. Automatic means that the statistician only needs to define a model; the method forms a variational approximation, computes gradients using automatic differentiation and approximates expectations via Monte Carlo integration. Stochastic gradient […] The post VB-Stan: Black-box black-box variational Bayes appeared first on Statistical Modeling, Causal Inference,…

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An unsuccessful adaptation of a classic

February 18, 2015
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An unsuccessful adaptation of a classic

Found this chart in Hemispheres magazine on board a United flight: A quick self-sufficiency test reveals the biggest shortcoming of this visual presentation. What would you guess is the difference in areas between the two white-ish sectors (pointing at 9...

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What’s in a Combine?

February 18, 2015
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What’s in a Combine?

They sprint, they jump, they lift. Does any of it matter come draft day? Click through to read my take on the matter. Predicting NFL draft picks based on their combine results!

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Monitor the progress of a long-running SAS/IML program

February 18, 2015
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Monitor the progress of a long-running SAS/IML program

When you have a long-running SAS/IML program, it is sometimes useful to be able to monitor the progress of the program. For example, suppose you need to computing statistics for 1,000 different data sets and each computation takes between 5 and 30 seconds. You might want to output a message […]

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Larry David (4) vs. Thomas Hobbes

February 17, 2015
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Yesterday‘s winner is Chris Rock. “There’s math. And then everything else is debatable.” And now, for today, we have a misanthropists’ version of yesterday’s contest: the grumpy comedian battling it out with the consummate realist political philosopher. Nasty, brutish, and short, indeed. It’s a bit scary how appropriate this matchup is, considering they were all […] The post Larry David (4) vs. Thomas Hobbes appeared first on Statistical Modeling, Causal…

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Non-Existent Instruments

February 17, 2015
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Non-Existent Instruments

Consider the following abstract for an econometrics paper:"The method of instrumental variables (IV) and the generalized method of moments (GMM), and their applications to the estimation of errors-in-variables and simultaneous equations models in econo...

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Bayesian survival analysis with horseshoe priors—in Stan!

February 17, 2015
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Bayesian survival analysis with horseshoe priors—in Stan!

Tomi Peltola, Aki Havulinna, Veikko Salomaa, and Aki Vehtari write: This paper describes an application of Bayesian linear survival regression . . . We compare the Gaussian, Laplace and horseshoe shrinkage priors, and find that the last has the best predictive performance and shrinks strong predictors less than the others. . . . And here’s […] The post Bayesian survival analysis with horseshoe priors—in Stan! appeared first on Statistical Modeling,…

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Bayesian survival analysis with horseshoe priors—in Stan!

February 17, 2015
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Bayesian survival analysis with horseshoe priors—in Stan!

Tomi Peltola, Aki Havulinna, Veikko Salomaa, and Aki Vehtari write: This paper describes an application of Bayesian linear survival regression . . . We compare the Gaussian, Laplace and horseshoe shrinkage priors, and find that the last has the best predictive performance and shrinks strong predictors less than the others. . . . And here’s […] The post Bayesian survival analysis with horseshoe priors—in Stan! appeared first on Statistical Modeling,…

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Reading Arduino data directly into R

February 17, 2015
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Reading Arduino data directly into R

I have experimented with reading an Arduino signal into R in the past, using Rserve and Processing. Actually, it is much easier. I can read the output of my Arduino directly into R with the scan function. Here is my temperature sensor example again:And...

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R. A. Fisher: How an Outsider Revolutionized Statistics (Aris Spanos)

February 17, 2015
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R. A. Fisher: How an Outsider Revolutionized Statistics (Aris Spanos)

In recognition of R.A. Fisher’s birthday…. ‘R. A. Fisher: How an Outsider Revolutionized Statistics’ by Aris Spanos Few statisticians will dispute that R. A. Fisher (February 17, 1890 – July 29, 1962) is the father of modern statistics; see Savage (1976), Rao (1992). Inspired by William Gosset’s (1908) paper on the Student’s t finite sampling […]

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R.A. Fisher: ‘Two New Properties of Mathematical Likelihood’: Just before breaking up (with N-P)

February 16, 2015
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R.A. Fisher: ‘Two New Properties of Mathematical Likelihood’: Just before breaking up (with N-P)

In recognition of R.A. Fisher’s birthday tomorrow, I will post several entries on him. I find this (1934) paper to be intriguing –immediately before the conflicts with Neyman and Pearson erupted. It represents essentially the last time he could take their work at face value, without the professional animosities that almost entirely caused, rather than being caused by, the apparent […]

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Continuing the discussion on truncation, Bayesian convergence and testing of priors

February 16, 2015
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Continuing the discussion on truncation, Bayesian convergence and testing of priors

My post “What’s wrong with taking (1 – β)/α, as a likelihood ratio comparing H0 and H1?” gave rise to a set of comments that were mostly off topic but interesting in their own right. Being too long to follow, I put what appears to be the last group of comments here, starting with Matloff’s query. […]

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Continuing the discussion on truncation, Bayesian convergence and testing of priors

February 16, 2015
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Continuing the discussion on truncation, Bayesian convergence and testing of priors

My post “What’s wrong with taking (1 – β)/α, as a likelihood ratio comparing H0 and H1?” gave rise to a set of comments that were mostly off topic but interesting in their own right. Being too long to follow, I put what appears to be the last group of comments here, starting with Matloff’s query. […]

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Chris Rock (3) vs. Jean-Jacques Rousseau

February 16, 2015
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At first I thought yesterday‘s bout would be hard to score. But, after reading all the comments, it was easy. Beauvoir, and it’s not even close. My reasoning isn’t based on any single comment, but rather that there was a lot more passion in the comments about Beauvoir, pro and con. I think it’s fair […] The post Chris Rock (3) vs. Jean-Jacques Rousseau appeared first on Statistical Modeling, Causal…

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The Econometric Game, 2015

February 16, 2015
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The Econometric Game, 2015

If you're a grad. student with an interest in econometrics, you've probably heard about The Econometric Game. It's been covered before on this blog (e.g., here, last year).The 2015 Econometric Game is the sixteenth in the series, and it will take place...

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James Watson sez: Cancer cure is coming in minus 14 years!

February 16, 2015
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From a recent news article by Laura Helmuth, I learned this amusing fact about DNA-discoverer James Watson: “he told a New York Times reporter 16 years ago that a researcher was ‘going to cure cancer in two years.'” Here’s the link to the NYT story, dated 3 May 1998: Within a year, if all goes […] The post James Watson sez: Cancer cure is coming in minus 14 years! appeared…

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On deck this week

February 16, 2015
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Mon: James Watson sez: Cancer cure is coming in minus 14 years! Chris Rock (3) vs. Jean-Jacques Rousseau Tues: Bayesian survival analysis with horseshoe priors—in Stan! Larry David (4) vs. Thomas Hobbes Wed: VB-Stan: Black-box black-box variational Bayes Jesus (1) vs. Leo Tolstoy Thurs: Another example of why centering predictors can be good idea Mohandas […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Heroic Econometrics Teachers: Tom Rothenberg and Dennis Sargan

February 16, 2015
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I'm not sure why this popped into my head just now. There have been many fine graduate econometrics teachers/mentors; their armies of well-trained students now populate top universities.  But two seem to me to have transcended the rest, achieving ...

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