andrew_gelman_stats andrew_gelman_stats-2014 andrew_gelman_stats-2014-2366 knowledge-graph by maker-knowledge-mining
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Introduction: Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? Fri: Stroopy names Sat: He’s not so great in math but wants to do statistics and machine learning Sun: Comparing the full model to the partial model
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same-blog 1 1.0000001 2366 andrew gelman stats-2014-06-09-On deck this week
Introduction: Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? Fri: Stroopy names Sat: He’s not so great in math but wants to do statistics and machine learning Sun: Comparing the full model to the partial model
2 0.3225975 2310 andrew gelman stats-2014-04-28-On deck this week
Introduction: Mon : Crowdstorming a dataset Tues : Ken Rice presents a unifying approach to statistical inference and hypothesis testing Wed : The health policy innovation center: how best to move from pilot studies to large-scale practice? Thurs : Heller, Heller, and Gorfine on univariate and multivariate information measures Fri : Discovering general multidimensional associations Sat : “The graph clearly shows that mammography adds virtually nothing to survival and if anything, decreases survival (and increases cost and provides unnecessary treatment)” Sun : Honored oldsters write about statistics
3 0.28975284 2290 andrew gelman stats-2014-04-14-On deck this week
Introduction: Mon : Transitioning to Stan Tues : When you believe in things that you don’t understand Wed : Looking for Bayesian expertise in India, for the purpose of analysis of sarcoma trials Thurs : If you get to the point of asking, just do it. But some difficulties do arise . . . Fri : One-tailed or two-tailed? Sat : Index or indicator variables Sun : Fooled by randomness
4 0.28821123 2348 andrew gelman stats-2014-05-26-On deck this week
Introduction: Mon: WAIC and cross-validation in Stan! Tues: A whole fleet of gremlins: Looking more carefully at Richard Tol’s twice-corrected paper, “The Economic Effects of Climate Change” Wed: Just wondering Thurs: When you believe in things that you don’t understand Fri: I posted this as a comment on a sociology blog Sat: “Building on theories used to describe magnets, scientists have put together a model that captures something very different . . .” Sun: Why we hate stepwise regression
5 0.28458521 2240 andrew gelman stats-2014-03-10-On deck this week: Things people sent me
Introduction: Mon: Preregistration: what’s in it for you? Tues: What if I were to stop publishing in journals? Wed: Empirical implications of Empirical Implications of Theoretical Models Thurs: An Economist’s Guide to Visualizing Data Fri: The maximal information coefficient Sat: Problematic interpretations of confidence intervals Sun: The more you look, the more you find
6 0.26465958 2321 andrew gelman stats-2014-05-05-On deck this week
7 0.25360847 2276 andrew gelman stats-2014-03-31-On deck this week
8 0.24568018 2331 andrew gelman stats-2014-05-12-On deck this week
9 0.23852827 2298 andrew gelman stats-2014-04-21-On deck this week
10 0.2358464 2206 andrew gelman stats-2014-02-10-On deck this week
11 0.22937116 2339 andrew gelman stats-2014-05-19-On deck this week
12 0.22676529 2356 andrew gelman stats-2014-06-02-On deck this week
13 0.21161532 2253 andrew gelman stats-2014-03-17-On deck this week: Revisitings
14 0.20564261 2285 andrew gelman stats-2014-04-07-On deck this week
15 0.20511475 2222 andrew gelman stats-2014-02-24-On deck this week
16 0.1684605 2214 andrew gelman stats-2014-02-17-On deck this week
17 0.16076328 2265 andrew gelman stats-2014-03-24-On deck this week
18 0.14666706 165 andrew gelman stats-2010-07-27-Nothing is Linear, Nothing is Additive: Bayesian Models for Interactions in Social Science
19 0.143474 1740 andrew gelman stats-2013-02-26-“Is machine learning a subset of statistics?”
20 0.12605295 1126 andrew gelman stats-2012-01-18-Bob on Stan
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same-blog 1 0.95868331 2366 andrew gelman stats-2014-06-09-On deck this week
Introduction: Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? Fri: Stroopy names Sat: He’s not so great in math but wants to do statistics and machine learning Sun: Comparing the full model to the partial model
2 0.88799173 2276 andrew gelman stats-2014-03-31-On deck this week
Introduction: Mon : The most-cited statistics papers ever Tues : American Psychological Society announces a new journal Wed : Am I too negative? Thurs : As the boldest experiment in journalism history, you admit you made a mistake Fri : The Notorious N.H.S.T. presents: Mo P-values Mo Problems Sat : Bizarre academic spam Sun : An old discussion of food deserts
3 0.85575658 2298 andrew gelman stats-2014-04-21-On deck this week
Introduction: Mon : Ticket to Baaaath Tues : Ticket to Baaaaarf Wed : Thinking of doing a list experiment? Here’s a list of reasons why you should think again Thurs : An open site for researchers to post and share papers Fri : Questions about “Too Good to Be True” Sat : Sleazy sock puppet can’t stop spamming our discussion of compressed sensing and promoting the work of Xiteng Liu Sun : White stripes and dead armadillos
4 0.85331845 2290 andrew gelman stats-2014-04-14-On deck this week
Introduction: Mon : Transitioning to Stan Tues : When you believe in things that you don’t understand Wed : Looking for Bayesian expertise in India, for the purpose of analysis of sarcoma trials Thurs : If you get to the point of asking, just do it. But some difficulties do arise . . . Fri : One-tailed or two-tailed? Sat : Index or indicator variables Sun : Fooled by randomness
5 0.85054928 2240 andrew gelman stats-2014-03-10-On deck this week: Things people sent me
Introduction: Mon: Preregistration: what’s in it for you? Tues: What if I were to stop publishing in journals? Wed: Empirical implications of Empirical Implications of Theoretical Models Thurs: An Economist’s Guide to Visualizing Data Fri: The maximal information coefficient Sat: Problematic interpretations of confidence intervals Sun: The more you look, the more you find
6 0.84527797 2331 andrew gelman stats-2014-05-12-On deck this week
7 0.83783406 2310 andrew gelman stats-2014-04-28-On deck this week
8 0.80645561 2214 andrew gelman stats-2014-02-17-On deck this week
9 0.78331345 2348 andrew gelman stats-2014-05-26-On deck this week
10 0.77748001 2339 andrew gelman stats-2014-05-19-On deck this week
11 0.76385868 2253 andrew gelman stats-2014-03-17-On deck this week: Revisitings
12 0.76057923 165 andrew gelman stats-2010-07-27-Nothing is Linear, Nothing is Additive: Bayesian Models for Interactions in Social Science
13 0.7565158 2321 andrew gelman stats-2014-05-05-On deck this week
14 0.75272858 2285 andrew gelman stats-2014-04-07-On deck this week
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16 0.73802447 2356 andrew gelman stats-2014-06-02-On deck this week
17 0.6892305 2222 andrew gelman stats-2014-02-24-On deck this week
18 0.67636967 2265 andrew gelman stats-2014-03-24-On deck this week
19 0.61152542 2264 andrew gelman stats-2014-03-24-On deck this month
20 0.60584068 679 andrew gelman stats-2011-04-25-My talk at Stanford on Tuesday
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same-blog 1 0.97681856 2366 andrew gelman stats-2014-06-09-On deck this week
Introduction: Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? Fri: Stroopy names Sat: He’s not so great in math but wants to do statistics and machine learning Sun: Comparing the full model to the partial model
2 0.86728132 2345 andrew gelman stats-2014-05-24-An interesting mosaic of a data programming course
Introduction: Rajit Dasgupta writes: I have been working on a website, SlideRule that in its present state, is a catalog of online courses aggregated from over 35 providers. One of the products we are building on top of this is something called Learning Paths, which are essentially a sequence of Online Courses designed to help learners gain mastery over a certain subject. We have recently released a Learning Path on Data Analysis , contributed by Claudia Gold, an early data scientist at Airbnb. We’d love it if you could look at it and tell us what you think. We are always looking for constructive feedback. I clicked through and took a look. It’s pretty cool. I haven’t tried to assess the actual teaching materials (they’re mostly about programming, not statistics) but I like how it’s structured based on pointers to existing resources, which seems like an excellent compromise between (a) someone trying to write the material all himself or herself (which would require either limiting the sco
3 0.86255413 515 andrew gelman stats-2011-01-13-The Road to a B
Introduction: A student in my intro class came by the other day with a lot of questions. It soon became clear that he was confused about a lot of things, going back several weeks in the course. What this means is that we did not do a good job of monitoring his performance earlier during the semester. But the question now is: what do do next? I’ll sign the drop form any time during the semester, but he didn’t want to drop the class (the usual scheduling issues). And he doesn’t want to get a C or a D. He’s in big trouble and at this point is basically rolling the dice that he’ll do well enough on the final to eke out a B in the course. (Yes, he goes to section meetings and office hours, and he even tried hiring a tutor. But it’s tough–if you’ve already been going to class and still don’t know what’s going on, it’s not so easy to pull yourself out of the hole, even if you have a big pile of practice problems ahead of you.) What we really need for this student, and others like him, is a road
4 0.85945022 325 andrew gelman stats-2010-10-07-Fitting discrete-data regression models in social science
Introduction: My lecture for Greg’s class today (taken from chapters 5-6 of ARM). Also, after class we talked a bit more about formal modeling. If I have time I’ll post some of that discussion here.
5 0.85680234 2144 andrew gelman stats-2013-12-23-I hate this stuff
Introduction: Aki pointed me to this article . I’m too exhausted to argue all this in detail yet one more time, but let me just say that I hate this stuff for the reasons given in Section 5 of this paper from 1998 (based on classroom activities from 1994). I’ve hated this stuff for a long time. And I don’t think Yitzhak likes it either; see this discussion from 2005 and this from 2009.
6 0.85167307 856 andrew gelman stats-2011-08-16-Our new improved blog! Thanks to Cord Blomquist
7 0.84908259 1586 andrew gelman stats-2012-11-21-Readings for a two-week segment on Bayesian modeling?
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11 0.84259641 903 andrew gelman stats-2011-09-13-Duke postdoctoral fellowships in nonparametric Bayes & high-dimensional data
12 0.84051609 1782 andrew gelman stats-2013-03-30-“Statistical Modeling: A Fresh Approach”
13 0.83944809 2068 andrew gelman stats-2013-10-18-G+ hangout for Bayesian Data Analysis course now! (actually, in 5 minutes)
14 0.83906245 2100 andrew gelman stats-2013-11-14-BDA class G+ hangout another try
15 0.83804804 76 andrew gelman stats-2010-06-09-Both R and Stata
16 0.83630723 276 andrew gelman stats-2010-09-14-Don’t look at just one poll number–unless you really know what you’re doing!
17 0.83486432 2343 andrew gelman stats-2014-05-22-Big Data needs Big Model
18 0.83476543 871 andrew gelman stats-2011-08-26-Be careful what you control for . . . you just might get it!
19 0.8320353 1202 andrew gelman stats-2012-03-08-Between and within-Krugman correlation
20 0.83189672 904 andrew gelman stats-2011-09-13-My wikipedia edit