andrew_gelman_stats andrew_gelman_stats-2012 andrew_gelman_stats-2012-1526 knowledge-graph by maker-knowledge-mining
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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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same-blog 1 0.99999994 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.
2 0.22222355 1039 andrew gelman stats-2011-12-02-I just flew in from the econ seminar, and boy are my arms tired
Introduction: I’ve heard all sorts of scare stories of what it’s like to speak in an academic economics seminar: they’re rude, they interrupt constantly, they don’t let you get through three slides in an hour, etc. But whenever I’ve actually spoke in an economics department, the people have been polite and well-behaved, really it’s been like any other seminar. I mentioned this to some people awhile ago and they said that the nasty-economist thing only happens in the top departments. I’d spoken at Columbia (which, if not at the very top, is still respectable), but that was in the political economy seminar and I’m a political scientist, so maybe they were nice to me because I’m local. And the other econ departments where I’d spoken were in Europe (maybe they’re nicer there) or at non-elite institutions in the U.S. So I called my friend at Harvard econ, told him my story, and asked if I could speak there. He duly booked me for the Harvard-MIT econometrics seminar. I spoke at the seminar,
3 0.18488482 2066 andrew gelman stats-2013-10-17-G+ hangout for test run of BDA course
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 .
4 0.16237041 1794 andrew gelman stats-2013-04-09-My talks in DC and Baltimore this week
Introduction: U.S. Treasury, Office of Financial Research, Tues 9 Apr afternoon (I don’t actually know exactly when or in what room): Parameterization and Bayesian Modeling — Johns Hopkins University, Department of Biostatistics, 4pm Wed 10 Apr, room W2030 School of Public Health : Little data: How traditional statistical ideas remain relevant in a big-data world At the end of the day, after all the processing, big data are being used to answer little- data questions such as, Does an observed pattern generalize to the larger population?, or Could it be explained by alternative processes (sometimes called “chance”)? We discuss some recent ideas in the world of “little data” that remain of big importance.
5 0.15596919 2275 andrew gelman stats-2014-03-31-Just gave a talk
Introduction: I just gave a talk in Milan. Actually I was sitting at my desk, it was a g+ hangout which was a bit more convenient for me. The audience was a bunch of astronomers so I figured they could handle a satellite link. . . . Anyway, the talk didn’t go so well. Two reasons: first, it’s just hard to get the connection with the audience without being able to see their faces. Next time I think I’ll try to get several people in the audience to open up their laptops and connect to the hangout, so that I can see a mosaic of faces instead of just a single image from the front of the room. The second problem with the talk was the topic. I asked the people who invited me to choose a topic, and they picked Can we use Bayesian methods to resolve the current crisis of statistically-significant research findings that don’t hold up? But I don’t think this was right for this audience. I think that it would’ve been better to give them the Stan talk or the little data talk or the statistic
6 0.14037523 1138 andrew gelman stats-2012-01-25-Chris Schmid on Evidence Based Medicine
7 0.13849331 1965 andrew gelman stats-2013-08-02-My course this fall on l’analyse bayésienne de données
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12 0.10602257 2063 andrew gelman stats-2013-10-16-My talk 19h this evening
13 0.099691913 376 andrew gelman stats-2010-10-28-My talk at American University
14 0.099569216 1143 andrew gelman stats-2012-01-29-G+ > Skype
15 0.097339459 1733 andrew gelman stats-2013-02-22-Krugman sets the bar too high
16 0.09685716 1937 andrew gelman stats-2013-07-13-Meritocracy rerun
18 0.095070511 1598 andrew gelman stats-2012-11-30-A graphics talk with no visuals!
19 0.091454789 438 andrew gelman stats-2010-11-30-I just skyped in from Kentucky, and boy are my arms tired
20 0.090480357 1617 andrew gelman stats-2012-12-11-Math Talks :: Action Movies
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same-blog 1 0.96697921 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.
2 0.88642347 1598 andrew gelman stats-2012-11-30-A graphics talk with no visuals!
Introduction: So, I’m at MIT, twenty minutes into my talk on tradeoffs in information graphics to the computer scientists, when the power goes out. They had some dim backup lighting so we weren’t all sitting there in the dark, but the projector wasn’t working. So I took questions for the remaining 40 minutes. It went well, perhaps better than the actual talk would’ve gone, even though they didn’t get to see most of my slides .
3 0.87503904 1143 andrew gelman stats-2012-01-29-G+ > Skype
Introduction: I spoke at the University of Kansas the other day. Kansas is far away so I gave the talk by video. We did it using a G+ hangout, and it worked really well, much much better than when I gave a talk via Skype . With G+, I could see and hear the audience clearly, and they could hear me just fine while seeing my slides (or my face, I went back and forth). Not as good as a live presentation but pretty good, considering. P.S. And here’s how to do it! Conflict of interest disclaimer: I was paid by Google last year to give a short course.
4 0.86684829 2275 andrew gelman stats-2014-03-31-Just gave a talk
Introduction: I just gave a talk in Milan. Actually I was sitting at my desk, it was a g+ hangout which was a bit more convenient for me. The audience was a bunch of astronomers so I figured they could handle a satellite link. . . . Anyway, the talk didn’t go so well. Two reasons: first, it’s just hard to get the connection with the audience without being able to see their faces. Next time I think I’ll try to get several people in the audience to open up their laptops and connect to the hangout, so that I can see a mosaic of faces instead of just a single image from the front of the room. The second problem with the talk was the topic. I asked the people who invited me to choose a topic, and they picked Can we use Bayesian methods to resolve the current crisis of statistically-significant research findings that don’t hold up? But I don’t think this was right for this audience. I think that it would’ve been better to give them the Stan talk or the little data talk or the statistic
5 0.86167955 1073 andrew gelman stats-2011-12-20-Not quite getting the point
Introduction: I gave this talk the other day and afterwards, a white guy came up to me and said he thought it was no coincidence that the researcher who made the mistake was “Oriental.” He then went on for about 5 minutes explaining his theory. I couldn’t keep myself from laughing—I had to start coughing into a napkin to hide it.
6 0.82389963 548 andrew gelman stats-2011-02-01-What goes around . . .
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9 0.79558855 2039 andrew gelman stats-2013-09-25-Harmonic convergence
10 0.77444559 1821 andrew gelman stats-2013-04-24-My talk midtown this Friday noon (and at Columbia Monday afternoon)
11 0.77294183 699 andrew gelman stats-2011-05-06-Another stereotype demolished
12 0.76409405 1673 andrew gelman stats-2013-01-15-My talk last night at the visualization meetup
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15 0.69404781 1039 andrew gelman stats-2011-12-02-I just flew in from the econ seminar, and boy are my arms tired
16 0.67821169 2063 andrew gelman stats-2013-10-16-My talk 19h this evening
17 0.67064005 2116 andrew gelman stats-2013-11-28-“Statistics is what people think math is”
18 0.66911429 1451 andrew gelman stats-2012-08-08-Robert Kosara reviews Ed Tufte’s short course
19 0.66234291 2323 andrew gelman stats-2014-05-07-Cause he thinks he’s so-phisticated
20 0.64863372 651 andrew gelman stats-2011-04-06-My talk at Northwestern University tomorrow (Thursday)
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1 0.95847678 335 andrew gelman stats-2010-10-11-How to think about Lou Dobbs
Introduction: I was unsurprised to read that Lou Dobbs, the former CNN host who crusaded against illegal immigrants, had actually hired a bunch of them himself to maintain his large house and his horse farm. (OK, I have to admit I was surprised by the part about the horse farm.) But I think most of the reactions to this story missed the point. Isabel Macdonald’s article that broke the story was entitled, “Lou Dobbs, American Hypocrite,” and most of the discussion went from there, with some commenters piling on Dobbs and others defending him by saying that Dobbs hired his laborers through contractors and may not have known they were in the country illegally. To me, though, the key issue is slightly different. And Macdonald’s story is relevant whether or not Dobbs knew he was hiring illegals. My point is not that Dobbs is a bad guy, or a hypocrite, or whatever. My point is that, in his setting, it would take an extraordinary effort to not hire illegal immigrants to take care of his house
2 0.95529807 340 andrew gelman stats-2010-10-13-Randomized experiments, non-randomized experiments, and observational studies
Introduction: In the spirit of Dehejia and Wahba: Three Conditions under Which Experiments and Observational Studies Produce Comparable Causal Estimates: New Findings from Within-Study Comparisons , by Cook, Shadish, and Wong. Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments, by Shadish, Clark, and Steiner. I just talk about causal inference. These people do it. The second link above is particularly interesting because it includes discussions by some causal inference heavyweights. WWJD and all that.
3 0.95461243 699 andrew gelman stats-2011-05-06-Another stereotype demolished
Introduction: I’ve heard from various sources that when you give a talk in an econ dept that they eat you alive: typically the audience showers you with questions and you are lucky to get past the second slide in your presentation. So far, though, I’ve given seminar talks in three economics departments–George Mason University a few years ago, Sciences Po last year, and Hunter College yesterday–and all three times the audiences have been completely normal. They did not interrupt unduly and they asked a bunch of good questions at the end. n=3, sure. But still.
4 0.95131767 940 andrew gelman stats-2011-10-03-It depends upon what the meaning of the word “firm” is.
Introduction: David Hogg pointed me to this news article by Angela Saini: It’s not often that the quiet world of mathematics is rocked by a murder case. But last summer saw a trial that sent academics into a tailspin, and has since swollen into a fevered clash between science and the law. At its heart, this is a story about chance. And it begins with a convicted killer, “T”, who took his case to the court of appeal in 2010. Among the evidence against him was a shoeprint from a pair of Nike trainers, which seemed to match a pair found at his home. While appeals often unmask shaky evidence, this was different. This time, a mathematical formula was thrown out of court. The footwear expert made what the judge believed were poor calculations about the likelihood of the match, compounded by a bad explanation of how he reached his opinion. The conviction was quashed. . . . “The impact will be quite shattering,” says Professor Norman Fenton, a mathematician at Queen Mary, University of London.
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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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