Primed to lose

February 9, 2016
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Primed to lose

David Hogg points me to a recent paper, “A Social Priming Data Set With Troubling Oddities” by Hal Pashler, Doug Rohrer, Ian Abramson, Tanya Wolfson, and Christine Harris, which begins: Chatterjee, Rose, and Sinha (2013) presented results from three experiments investigating social priming—specifically, priming effects induced by incidental exposure to concepts relating to cash or […] The post Primed to lose appeared first on Statistical Modeling, Causal Inference, and Social…

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New Judea Pearl Causal Inference "Primer"

February 9, 2016
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New Judea Pearl Causal Inference "Primer"

Should be a fun and informative read. Check out the contents and various chapters here. ("Causal Inference in Statistics - A Primer" by J. Pearl, M. Glymour and N. Jewell. Available now on Kindle; available in print Feb. 26, 2016.)

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Using SVG graphics in blog posts

February 9, 2016
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Using SVG graphics in blog posts

My traditional work flow for embedding R graphics into a blog post has been via a PNG files that I upload online. However, when I created a 'simple' graphic with only basic curves and triangles for a recent post, I noticed that the PNG output didn't lo...

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The State of Information Visualization, 2016

February 8, 2016
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The State of Information Visualization, 2016

Oh hello, new year! I almost didn’t see you there! Lots of interesting things happened last year: Dear Data, deceptive visualization, storytelling research, new tools and ideas, etc. And this year is already shaping up to be quite strong, too. Dear Data Perhaps the most exciting project of 2015 was Dear Data by Giorgia Lupi and Stefanie Posavec. They … Continue reading The State of Information Visualization, 2016

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Neglected optimization topic: set diversity

February 8, 2016
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Neglected optimization topic: set diversity

The mathematical concept of set diversity is a somewhat neglected topic in current applied decision sciences and optimization. We take this opportunity to discuss the issue. The problem Consider the following problem: for a number of items U = {x_1, … x_n} pick a small set of them X = {x_i1, x_i2, ..., x_ik} such … Continue reading Neglected optimization topic: set diversity

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Forking paths vs. six quick regression tips

February 8, 2016
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Forking paths vs. six quick regression tips

Bill Harris writes: I know you’re on a blog delay, but I’d like to vote to raise the odds that my question in a comment to http://andrewgelman.com/2015/09/15/even-though-its-published-in-a-top-psychology-journal-she-still-doesnt-believe-it/gets discussed, in case it’s not in your queue. It’s likely just my simple misunderstanding, but I’ve sensed two bits of contradictory advice in your writing: fit one complete model all at […] The post Forking paths vs. six quick regression tips appeared first on Statistical Modeling,…

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"Using R for Introductory Econometrics"

February 8, 2016
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"Using R for Introductory Econometrics"

Recently, I received an email from Florian Heiss, Professor and Chair of Statistics and Econometrics at the Henrich Heine University of Dusseldorf.He wrote:"I'd like to introduce you to a new book I just published that might be of interest to you: Usin...

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On deck this week

February 8, 2016
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On deck this week

Mon: Forking paths vs. six quick regression tips Tues: Primed to lose Wed: Point summary of posterior simulations? Thurs: In general, hypothesis testing is overrated and hypothesis generation is underrated, so it’s fine for these data to be collected with exploration in mind. Fri: “Priming Effects Replicate Just Fine, Thanks” Sat: Pooling is relative to […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Connection between hypergeometric distribution and series

February 8, 2016
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Connection between hypergeometric distribution and series

What’s the connection between the hypergeometric distributions, hypergeometric functions, and hypergeometric series? The hypergeometric distribution is a probability distribution with parameters N, M, and n. Suppose you have an urn containing N balls, M red and the rest, N – M blue and you select n balls at a time. The hypergeometric distribution gives the probability of selecting k red balls. The probability generating function […]

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Read data into vectors or into a matrix: Which is better?

February 8, 2016
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Read data into vectors or into a matrix: Which is better?

In the SAS/IML language, you can read data from a SAS data set into a set of vectors (each with their own name) or into a single matrix. Beginning programmers might wonder about the advantages of each approach. When should you read data into vectors? When should you read data […] The post Read data into vectors or into a matrix: Which is better? appeared first on The DO Loop.

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You’ll never guess what I say when I have nothing to say

February 7, 2016
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A reporter writes: I’m a reporter working on a story . . . and I was wondering if you could help me out by taking a quick look at the stats in the paper it’s based on. The paper is about paedophiles being more likely to have minor facial abnormalities, suggesting that paedophilia is a […] The post You’ll never guess what I say when I have nothing to say…

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Dual Regression

February 6, 2016
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Speaking of quantiles and quantile regression, I also like the new version of Spady and Stouli's "Dual Regression." The power and insights of quantile regression, without the possibility of intersecting conditional quantile surfaces.  Sounds good ...

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Multivariate Quantiles

February 6, 2016
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This new paper got me thinking. How often one wishes for a natural notion of multivariate median, or more generally, multivariate quantiles. Had fun learning about centerpoints and Tukey depths.Multiple-Output Quantile RegressionBy: Marc Hallin ; Miros...

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What’s the difference between randomness and uncertainty?

February 6, 2016
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Julia Galef mentioned “meta-uncertainty,” and how to characterize the difference between a 50% credence about a coin flip coming up heads, vs. a 50% credence about something like advanced AI being invented this century. I wrote: Yes, I’ve written about this probability thing. The way to distinguish these two scenarios is to embed each of […] The post What’s the difference between randomness and uncertainty? appeared first on Statistical Modeling,…

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The bejeezus

February 5, 2016
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The bejeezus

Tova Perlmutter writes of a recent online exchange: Person A posted: In light of the Iowa caucuses today, something really bothered me on the news last night. A woman was interviewed, and she said that she supported Trump because, and I quote, ‘he says what we’re ALL thinking.’ Do people really think that his views […] The post The bejeezus appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Speaking at DataPhilly February 2016

February 5, 2016
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Speaking at DataPhilly February 2016

The next DataPhilly meetup will feature a medley of machine-learning talks, including an Intro to ML from yours truly. Check out the speakers list and be sure to RSVP. Hope to see you there! Thursday, February 18, 2016 6:00 PM to 9:00 PM Speakers: Corey Chivers Randy Olson Austin Rochford Corey Chivers (Penn Medicine) Abstract: […]

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Shiny Developer Conference 2016 Recap

February 5, 2016
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Shiny Developer Conference 2016 Recap

This is a guest post from VP Nagraj, a data scientist embedded within UVA’s Health Sciences Library, who runs our Data Analysis Support Hub (DASH) service.Last weekend I was fortunate enough to be able to participate in the first ever Shiny Develope...

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Stat Podcast Plan

February 5, 2016
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Stat Podcast Plan

In my course on Statistical Communication and Graphics, each class had a special guest star who would answer questions on his or her area of expertise. These were not “guest lectures”—there were specific things I wanted the students to learn in this course, it wasn’t the kind of seminar where they just kick back each […] The post Stat Podcast Plan appeared first on Statistical Modeling, Causal Inference, and Social…

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Light entertainment: crime is no joke

February 5, 2016
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Light entertainment: crime is no joke

(via twitter) When I saw this on my twitter feed, I thought this must be a joke. But click here and check out the entire collection of them.

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Free video course: applied Bayesian A/B testing in R

February 4, 2016
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Free  video course: applied Bayesian A/B testing in R

As a “thank you” to our blog, mailing list, and Twitter followers (@WinVectorLLC) we at Win-Vector LLC have decided to re-release our formerly fee-based A/B testing video course as a free (advertisement supported) video course here on Youtube. The course emphasizes how to design A/B tests using prior “guestimates” of effect sizes (often you have … Continue reading Free video course: applied Bayesian A/B testing in R

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The value of being informed about a short course

February 4, 2016
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The value of being informed about a short course

Later this year, Anna, Mark, Nicky and I will organise and then teach on a 3-day workshop on Statistical Methods for the Value of Information Analysis. Not-quite-by-chance, this will happen exactly the week before the European Conference of t...

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The Notorious N.H.S.T. presents: Mo P-values Mo Problems

February 4, 2016
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Alain Content writes: I am a psycholinguist who teaches statistics (and also sometimes publishes in Psych Sci). I am writing because as I am preparing for some future lessons, I fall back on a very basic question which has been worrying me for some time, related to the reasoning underlying NHST [null hypothesis significance testing]. […] The post The Notorious N.H.S.T. presents: Mo P-values Mo Problems appeared first on Statistical…

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Showing three dimensions using a ternary plot

February 4, 2016
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Showing three dimensions using a ternary plot

Long-time reader Daniel L. isn't a fan of this chart, especially when it is made to spin, as you can see at this link: Like other 3D charts, this one is hard to read. The vertical lines are both good...

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