PubMed, the main database of life sciences and biomedical literature, is now allowing comments and upvotes. Here is more information and the twitter handle is @PubMedCommons.

PubMed, the main database of life sciences and biomedical literature, is now allowing comments and upvotes. Here is more information and the twitter handle is @PubMedCommons.

For a good overview of what OCR is, check out this overview I found myself cutting the spines off books, again. This time it was because I couldn’t find an e-book copy of ‘Animal Liberation’ anywhere on the net, and I’ve amassed quite a few physical copies--mostly from garage sales--that I could afford to experiment »more

Nurit Baytch posted a document, A Critique of Ron Unz’s Article “The Myth of American Meritocracy”, that is relevant to an ongoing discussion we had on this blog. Baytch’s article begins: In “The Myth of American Meritocracy,” Ron Unz, the publisher of The American Conservative, claimed that Harvard discriminates against non-Jewish white and Asian students […]The post Ivy Jew update appeared first on Statistical Modeling, Causal Inference, and Social Science.

If you know any statistics, you know "sampling". It's the idea of measuring some subset of the population. Using the Law of Large Numbers, you are able to learn from the sample and generalize to the population. Your Stats professor never told you what "unsampling" is. You're not going to find this word in a statistics textbook either. What does it mean? The "un" implies that you can recover the…

What I’ve learned from updating the blogroll. New entries The easy option is to go to The Whole Street which aggregates lots of quant finance blogs. Somehow Bookstaber missed out being on the blogroll before — definitely an oversight. Timely Portfolio was another that I was surprised wasn’t already there. The R Trader talks about … Continue reading →

Attention conservation notice: Late notice of a very technical presentation about theoretical statistics in a city you don't live in. Today's speaker needs no introduction for those interested in modern, high-dimensional statistics (but will get an ...

Lecture 14: Why simulate? Generating random variables as first step. The built-in R commands: rnorm, runif, etc.; sample. Some uses of sampling: permutation tests; bootstrap standard errors and confidence intervals. Transforming uniformly-distribu...

Lecture 15: Combing multiple dependent random variables in a simulation; ordering the simulation to do the easy parts first. Markov chains as a particular example of doing the easy parts first. The Markov property. How to write a Markov chain simul...

The chapter (Chap. 3) on Bayesian updating or learning (a most appropriate term) for discrete data is well-done in Machine Learning, a probabilistic perspective if a bit stretched (which is easy with 1000 pages left!). I like the remark (Section 3.5.3) about the log-sum-exp trick. While lengthy, the chapter (Chap. 4) on Gaussian models has […]

The following should be catnip for Andrew. It combines (a) statistics on baby names, (b) time series, and (c) statistics broken down by state. All in one really fun animated visualization by Reuben Fischer-Baum: Sixty Years of the Most Popular Names for Girls As Mark Liberman commented in his re-post on Language Log, this data […]The post Most Popular Girl Names by State over Time appeared first on Statistical Modeling,…

I am sad to report that Lawrence R. Klein has passed away. He was in many respects the father of modern econometrics and empirical macroeconomics; indeed his 1980 Nobel Prize citation was "for the creation of econometric models and their application to...

During Saturday's ALCS game 6 the Red Sox's manager John Farrell took out his starter in the 6th inning. They were leading by 1, but had runners on first and second with no outs. This is a hard situation to … Continue reading →

In connection with this workshop, I was asked to write a few paragraphs describing my perspective on “the current and near-term future state of the statistical sciences you are most familiar with.” Here’s what I wrote: I think that, at any given time, the field of statistics has a core, but that core changes over […]The post The future (and past) of statistical sciences appeared first on Statistical Modeling, Causal…

Sometimes you can derive a probability distributions from a list of properties it must have. For example, there are several properties that lead inevitably to the normal distribution or the Poisson distribution. Although such derivations are attractive, they don’t apply that often, and they’re suspect when they do apply. There’s often some effect that keeps […]