andrewgelman.com
Poker math showdown! - Statistical Modeling, Causal Inference, and Social Science
http://andrewgelman.com/2014/08/25/poker-math-showdown
Statistical Modeling, Causal Inference, and Social Science. Laquo; How Many Mic’s Do We Rip. On deck this week. On 25 August 2014, 2:06 am. In comments, Rick Schoenberg wrote. I haven’t read your book, but I’d be happy to know what you think is a huge error that invalidates the whole last chapter that no one has uncovered so far. (Also, the last chapter of our book contains no calculations—perhaps you meant the chapter preceding the error? Hmmm, what’s on page 146 of Rick’s book? Actually, the first time...
andrewgelman.com
When does Bayes do the job? - Statistical Modeling, Causal Inference, and Social Science
http://andrewgelman.com/2015/08/06/when-does-bayes-do-the-job
Statistical Modeling, Causal Inference, and Social Science. Laquo; How Hamiltonian Monte Carlo works. The secret to making a successful conference presentation. When does Bayes do the job? On 6 August 2015, 9:57 am. I recall that you have also stressed this issue, and I’d like to acknowledge that. Do you have pointers to a few of your papers where you explicitly mention this? Ideally I would just take a quotation. Which I absolutely love. Then there’s this paper. Here’s a quote from that paper:. The next...
andrewgelman.com
Understanding regression models and regression coefficients - Statistical Modeling, Causal Inference, and Social Science
http://andrewgelman.com/2013/01/understanding-regression-models-and-regression-coefficients
Statistical Modeling, Causal Inference, and Social Science. Laquo; “Don’t think of it as duplication. Think of it as a single paper in a superposition of two quantum journals.”. The statistics software signal. Understanding regression models and regression coefficients. On 5 January 2013, 9:42 am. After seeing it cited, I just read your paper. In Technometrics. The home radon levels provide an interesting and instructive example. A look at that scatterplot may make it easier to interpret gamma-sub-2.
andrewgelman.com
Weggy update: it just gets sadder and sadder - Statistical Modeling, Causal Inference, and Social Science
http://andrewgelman.com/2015/05/21/weggy-update-it-just-gets-sadder-and-sadder
Statistical Modeling, Causal Inference, and Social Science. Laquo; Can talk therapy halve the rate of cancer recurrence? How to think about the statistical significance of this finding? Is it just another example of the garden of forking paths? Creativeness is the ability to see relationships where none exist. Weggy update: it just gets sadder and sadder. On 21 May 2015, 4:33 pm. Uh oh, lots on research misconduct lately. Newest news is that noted Wikipedia-lifter. Best quote from Mashey’s write-up:.
mathbabe.org
Sharing with whom? | mathbabe
https://mathbabe.org/2015/04/28/sharing-with-whom
Exploring and venting about quantitative issues. April 28, 2015. Cathy O'Neil, mathbabe. But my complaints have remained relatively vague, until this morning, when I read two articles about the issue. By Tom Slee, published by Jacobin. Meanwhile delivery giant DHL has launched its MyWays. The Class-Action Lawyer Shaking Up the Share Economy. Published in The Recorder. 8220;Uber is what, the most highly valued startup in the world right now? 8221; she asked. “Valued at over $40 billion? A lot of it is abo...
weeklysift.com
The 2016 Stump Speeches: Hillary Clinton | The Weekly Sift
https://weeklysift.com/2015/07/27/the-2016-stump-speeches-hillary-clinton
Making sense of the news one week at a time. The 2016 Stump Speeches: Hillary Clinton. We all know who she is. But who is she really? This is part of my series: The 2016 Stump Speeches. Hillary Clinton’s candidacy presents a unique challenge. As a presidential campaign begins, the question in voters’ minds is usually “Who is this person? 8221;, and a responsible journalist tries to answer it by presenting information. But the question I keep hearing about Clinton is “Who is she. My Hillary reading project.
andrewgelman.com
The secret to making a successful conference presentation - Statistical Modeling, Causal Inference, and Social Science
http://andrewgelman.com/2015/08/07/the-secret-to-making-a-successful-conference-presentation
Statistical Modeling, Causal Inference, and Social Science. Laquo; When does Bayes do the job? Classifying causes of death using “verbal autopsies”. The secret to making a successful conference presentation. On 7 August 2015, 9:50 am. JSM (the Joint Statistical Meetings) are coming up soon, and Jiqiang’s giving a talk on Stan. Here’s the advice I gave him:. In 20 minutes, something like this:. 8211; What is Stan? 8211; Where does Stan work well? 8211; Current and future Stan research. It’s my sense...
andrewgelman.com
Type 1, type 2, type S, and type M errors - Statistical Modeling, Causal Inference, and Social Science
http://andrewgelman.com/2004/12/29/type_1_type_2_t
Statistical Modeling, Causal Inference, and Social Science. Laquo; Adjusting polls for party identification. What is the value of a life? Type 1, type 2, type S, and type M errors. On 29 December 2004, 12:02 am. In statistics, we learn about Type 1 and Type 2 errors. For example, from an intro stat book:. A Type 1 error is commtted if we reject the null hypothesis when it is true. A Type 2 error is committed if we accept the null hypothesis when it is false. Actually, though . . . For simplicity, letR...
initforthegold.blogspot.com
Only In It For The Gold: They concede nothing; they can't
http://initforthegold.blogspot.com/2015/07/they-concede-nothing-they-cant.html
Only In It For The Gold. It is time to stop quivering in our boots in pointless fear of the future and just roll up our sleeves and build it. Tuesday, July 28, 2015. They concede nothing; they can't. The perception of competing polarized scientific camps within climatology is a politically constructed illusion. I argued as such in response to a question I saw on Quora. What are the logical premises shared by both sides of the AGW debate? The questioner, Martin Stoehr, proposes for starters that:. Warming...
andrewgelman.com
Tell me what you don't know - Statistical Modeling, Causal Inference, and Social Science
http://andrewgelman.com/2015/01/25/tell-dont-know
Statistical Modeling, Causal Inference, and Social Science. Laquo; Postdoc opportunity here, with us (Jennifer Hill, Marc Scott, and me)! On quantitative education research! On deck this week. Tell me what you don’t know. On 25 January 2015, 9:19 am. 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. Consider your understanding of a particular topic to be divided into three parts:. I recall how ...
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