Posts Tagged ‘ Decision Theory ’

The (hypothetical) phase diagram of a statistical or computational method

January 26, 2015
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The (hypothetical) phase diagram of a statistical or computational method

So here’s the deal. You have a new idea, call it method C, and you try it out on problems X, Y, and Z and it works well—it destroys the existing methods A and B. And then you publish a paper with the pithy title, Method C Wins. And, hey, since we’re fantasizing here anyway, […] The post The (hypothetical) phase diagram of a statistical or computational method appeared first…

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On deck this week

January 26, 2015
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Mon: The (hypothetical) phase diagram of a statistical or computational method Tues: “It is perhaps merely an accident of history that skeptics and subjectivists alike strain on the gnat of the prior distribution while swallowing the camel that is the likelihood” Wed: Six quick tips to improve your regression modeling Thurs: “Another bad chart for […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Tell me what you don’t know

January 25, 2015
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We’ll ask an expert, or even a student, to “tell me what you know” about some topic. But now I’m thinking it makes more sense to ask people to tell us what they don’t know. Why? Consider your understanding of a particular topic to be divided into three parts: 1. What you know. 2. What […] The post Tell me what you don’t know appeared first on Statistical Modeling, Causal…

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Postdoc opportunity here, with us (Jennifer Hill, Marc Scott, and me)! On quantitative education research!!

January 25, 2015
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Hop the Q-TRAIN: that is, the Quantitative Training Program, a postdoctoral research program supervised by Jennifer Hill, Marc Scott, and myself, and funded by the Institute for Education Sciences. As many of you are aware, education research is both important and challenging. And, on the technical level, we’re working on problems in Bayesian inference, multilevel […] The post Postdoc opportunity here, with us (Jennifer Hill, Marc Scott, and me)! On…

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High risk, low return

January 21, 2015
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This one is just too good not to share. I came across it via a link from Retraction Watch. Director of Paris journalism school suspended for plagiarism: Executive director of journalism school at Sciences-Po university suspended while the university investigates accusations she was plagiarising other people’s articles for columns in the Huffington Post . . […] The post High risk, low return appeared first on Statistical Modeling, Causal Inference, and…

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Another benefit of bloglag

January 20, 2015
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In the classic Philip K. Dick novel, The World Jones Made, the main character has the ability to see the future, in particular he knows what will happen a year in the future, with this window moving forward relative to present time. Sounds cool, huh? But that’s not the character’s perception; instead: It’s not so […] The post Another benefit of bloglag appeared first on Statistical Modeling, Causal Inference, and…

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On deck this week

January 19, 2015
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Mon: “Surely our first response to the disproof of a shocking-but-surprising claim should be to be un-shocked and un-surprised, not to try to explain away the refutation” Tues: Another benefit of bloglag Wed: High risk, low return Thurs: Patience and research Fri: This is why I’m a political scientist and not a psychologist Sat: “What […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Some art so far

January 14, 2015
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Some art so far

In response to my request #1 (“Gone Fishing” T-shirt), Ed Witt sent in this: I thanked Ed and asked if it would be possible to take the image and add to it so it’s clear that the “.05” is being drawn from a sea of other numbers, also with a little bucket next to the […] The post Some art so far appeared first on Statistical Modeling, Causal Inference, and…

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What’s misleading about the phrase, “Statistical significance is not the same as practical significance”

January 12, 2015
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You’ve heard it a million times, the idea is that if you have an estimate of .003 (on some reasonable scale in which 1 is a meaningful effect size) and a standard error of .001 then, yes, the estimate is statistically significant but it’s not practically significant. And, indeed, sometimes this sort of thing comes […] The post What’s misleading about the phrase, “Statistical significance is not the same as…

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On deck this week

January 12, 2015
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Mon: What’s misleading about the phrase, “Statistical significance is not the same as practical significance” Tues: Artist needed! Wed: Stan comes through . . . again! Thurs: I need your help in setting up the ultimate bracket: Picking the ideal seminar speaker Fri: When a study fails to replicate: let’s be fair and open-minded Sat: […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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