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

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)

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

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,…

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…

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,…

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 […]

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 […]

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. […]

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…

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…

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…

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 ...