andrew_gelman_stats andrew_gelman_stats-2013 andrew_gelman_stats-2013-2066 knowledge-graph by maker-knowledge-mining

2066 andrew gelman stats-2013-10-17-G+ hangout for test run of BDA course


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Introduction: Try this link . . . . OK, it worked (as well as might be expected given that we don’t have any professional audiovisual people involved). Tomorrow 8h30, I’ll post a new link with the new G+ hangout. We’ll be going through the first two sets of slides (class1a.pdf and class1b.pdf) following the link for the slides here .


Summary: the most important sentenses genereted by tfidf model

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1 OK, it worked (as well as might be expected given that we don’t have any professional audiovisual people involved). [sent-5, score-0.963]

2 Tomorrow 8h30, I’ll post a new link with the new G+ hangout. [sent-6, score-0.88]

3 We’ll be going through the first two sets of slides (class1a. [sent-7, score-1.055]


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Introduction: Try this link . . . . OK, it worked (as well as might be expected given that we don’t have any professional audiovisual people involved). Tomorrow 8h30, I’ll post a new link with the new G+ hangout. We’ll be going through the first two sets of slides (class1a.pdf and class1b.pdf) following the link for the slides here .

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Introduction: X marks the spot . I’ll post the slides soon (not just for the students in my class; these should be helpful for anyone teaching Bayesian data analysis from our book ). But I don’t think you’ll get much from reading the slides alone; you’ll get more out of the book (or, of course, from taking the class).

3 0.33906785 2100 andrew gelman stats-2013-11-14-BDA class G+ hangout another try

Introduction: Tomorrow (Thurs) 8h30 (Paris time) I will be teaching my Bayesian Data Analysis class (class4a.pdf and class4b.pdf, you can follow the slides here ). We had problems earlier with the regular G+ hangout, so this time we’re trying the G+ On-Air Hangout which I think should work better. I’ll post a blog entry tomorrow with a link to the hangout. Let’s hope for the best!

4 0.22647893 1673 andrew gelman stats-2013-01-15-My talk last night at the visualization meetup

Introduction: It went pretty well, especially considering it was an entirely new talk (even though, paradoxically, all the images were old), and even though I had a tough act to follow: I came on immediately after an excellent short presentation by Jed Dougherty on some cool information and visualization software that he and his colleagues are building for social workers. The only problems with my were: (a) I planned to elicit more audience involvement but didn’t do it. It would’ve been easy: at any point I could’ve just paused and had the audience members work in pairs to come up with suggested improvements to any of my graphs. But I forgot to do it. (b) I went on too long. The talk was going so well, I didn’t stop. In retrospect, it would’ve been better to stop earlier. Better for people to leave the table hungry than stuffed. Also, next time I’ll drop the bit about the nuns-in-prison movies. People weren’t getting the connection to the point I was making about presetting the sig

5 0.18488482 1526 andrew gelman stats-2012-10-09-Little Data: How traditional statistical ideas remain relevant in a big-data world

Introduction: See if you can interpolate the talk from the slides . The background is: I was invited to speak in this seminar on “big data.” I said I didn’t know anything about big data, I worked on little data. They said that was ok. Actually it was probably a crowd-pleasing move to tell these people that little-data ideas remain relevant.

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Introduction: Try this link . . . . OK, it worked (as well as might be expected given that we don’t have any professional audiovisual people involved). Tomorrow 8h30, I’ll post a new link with the new G+ hangout. We’ll be going through the first two sets of slides (class1a.pdf and class1b.pdf) following the link for the slides here .

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Introduction: From AC, AI, and AIH to WAHM, WOHM, and WM. P.S. That was all pretty pointless, so I’ll throw in this viral Jim Henson link (from the same source) for free.

3 0.78669405 2068 andrew gelman stats-2013-10-18-G+ hangout for Bayesian Data Analysis course now! (actually, in 5 minutes)

Introduction: Here’s the link . When you’re on the hangout, please mute your own microphone! I’ll have the computer point at the blackboard. You can follow along with the slides: for the first hour for the second hour P.S. Apparently there is some limit on number of hangout participants (see comments). I didn’t know about that! Maybe next time will try “on air” hangout, I will have to learn more about this. Next week the teaching asst will do the course so no hangout, then in two weeks there is no class because it’s the day after Halloween and that’s a holiday around here. So we’ll resume this on Fri 8 Nov. See you then! P.P.S. Those of you who were able to join the hangout: Could you please let me know how the visual and sound quality were? Thanks.

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Introduction: This is pretty amazing. Now I want to hear volume 3. Also is there a way to download this as I play it so I can listen when I’m offline? P.S. Typo in title fixed. P.P.S. I originally gave a different link but was led to the apparently more definitive link above (which allows direct download) from a commenter . Thanks!

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Introduction: Tomorrow (Thurs) 8h30 (Paris time) I will be teaching my Bayesian Data Analysis class (class4a.pdf and class4b.pdf, you can follow the slides here ). We had problems earlier with the regular G+ hangout, so this time we’re trying the G+ On-Air Hangout which I think should work better. I’ll post a blog entry tomorrow with a link to the hangout. Let’s hope for the best!

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Introduction: Lane Kenworthy writes : The book is full of graphs that support the above claims. One thing I like about Kenworthy’s approach is that he performs a separate analysis to examine each of his hypotheses. A lot of social scientists seem to think that the ideal analysis will conclude with a big regression where each coefficient tells a story and you can address all your hypotheses by looking at which predictors and interactions have statistically significant coefficients. Really, though, I think you need a separate analysis for each causal question (see chapters 9 and 10 of my book with Jennifer, follow this link ). Kenworthy’s overall recommendation is to increase transfer payments to low-income families and to increase overall government spending on social services, and to fund this through general tax increases. What will it take for this to happen? After a review of the evidence from economic trends and opinion polls, Kenworthy writes, “Americans are potentially recepti

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Introduction: We’ve had lots of lively discussions of fatally-flawed papers that have been published in top, top journals such as the American Economic Review or the Journal of Personality and Social Psychology or the American Sociological Review or the tabloids . And we also know about mistakes that make their way into mid-ranking outlets such as the Journal of Theoretical Biology. But what about results that appear in the lower tier of legitimate journals? I was thinking about this after reading a post by Dan Kahan slamming a paper that recently appeared in PLOS-One. I won’t discuss the paper itself here because that’s not my point. Rather, I had some thoughts regarding Kahan’s annoyance that a paper with fatal errors was published at all. I commented as follows: Read between the lines. The paper originally was released in 2009 and was published in 2013 in PLOS-One, which is one step above appearing on Arxiv. PLOS-One publishes some good things (so does Arxiv) but it’s the place

4 0.98055929 321 andrew gelman stats-2010-10-05-Racism!

Introduction: Last night I spoke at the Columbia Club of New York, along with some of my political science colleagues, in a panel about politics, the economy, and the forthcoming election. The discussion was fine . . . until one guy in the audience accused us of bias based on what he imputed as our ethnicity. One of the panelists replied by asking the questioner what of all the things we had said was biased, and the questioner couldn’t actually supply any examples. It makes sense that the questioner couldn’t come up with a single example of bias on our part, considering that we were actually presenting facts . At some level, the questioner’s imputation of our ethnicity and accusation of bias isn’t so horrible. When talking with my friends, I engage in casual ethnic stereotyping all the time–hey, it’s a free country!–and one can certainly make the statistical argument that you can guess people’s ethnicities from their names, appearance, and speech patterns, and in turn you can infer a lot

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Introduction: Our apartment is from earlier in the century, so I can’t give Tyler Cowen’s first answer , but, after that, I follow him in thinking of the several books I have from that decade. Beyond that, lemme think . . . We occasionally play Risk , and our set dates from the 50s. Some kitchen implements (a mixmaster, a couple of cookbooks, who knows which old bowls, forks, etc). Probably some of the furniture, although I don’t know which. Probably some of the items in our building (the boiler?) What else, I wonder? There are probably a few things I’m forgetting. 50-60 years is a long time, I guess. P.S. to the commenters: I’m taking the question to refer to things manufactured in the 1950s and not before!

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