andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-325 knowledge-graph by maker-knowledge-mining
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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.
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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.
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Introduction: Alex Tabarrok writes : There is something special, magical, and “almost sacred” about the live teaching experience. I agree that this is true for teaching at its best but it’s also irrelevant. It’s even more true that there is something special, magical and almost sacred about the live musical experience. . . . Mark Edmundson makes the analogy between teaching and music explicit: Every memorable class is a bit like a jazz composition. Quite right but every non-memorable class is also a bit like a jazz composition, namely one that was expensive, took an hour to drive to (15 minutes just to find parking) and at the end of the day wasn’t very memorable. The correct conclusion to draw from the analogy between live teaching and live music is that at their best both are great but both are also costly and inefficient ways of delivering most teaching and most musical experiences. Excellent points (and Tabarrok has additional good points that I haven’t quoted). We’re not all
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Introduction: Here’s the announcement: ELECTIONS 2010 How sustainable is the current Republican coalition? Why has support for the Democratic Party taken a nosedive? Has there been a fundamental change in political conflict since Obama took office? How might policy (health care, TARP, the stimulus) influence election outcomes? Join J-School Prof. TOM EDSALL and a bevy of some of the quickest political minds around for an examination of the upcoming November elections: * BEN SMITH & MAGGIE HABERMAN of Politico * CHARLES BLOW of the New York Times * MELINDA HENNEBERGER of Politics Daily * SAM STEIN of the Huffington Post * J-School Prof. TODD GITLIN and * Columbia University political scientists ANDREW GELMAN & BOB ERIKSON. This lecture is sponsored in part by the Sevellon Brown Lecture Fund. TUESDAY, OCTOBER 12 * 7 P.M. Journalism School Lecture Hall
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Introduction: Bayesian Computation, Fall 2011, Andrew Gelman (Statistics G8325, section 002) Class meets Wed 9:30-12, Mudd Hall 1106B Research topics. We are working on the following Bayesian computation projects: - Automated adaptive Hamiltonian Monte Carlo - Penalized maximum likelihood for multilevel models - Weakly informative prior distributions - Multilevel regression and poststratification - Missing-data imputation using iterative regressions - Automating graphical displays for checking and understanding models Skills. In the homeworks, you will work in R to: - Program the following Markov chain samplers: Gibbs, Metropolis, Metropolis-Hastings, slice, Langevin, Hamiltonian, also variational Bayes - Make statistical graphs and perform posterior predictive checks - Check Bayesian inference programs using fake-data simulation All readings, class notes, and homeworks will be posted as pdfs at http://www.stat.columbia.edu/~gelman/bayecomputation As a start, you should down
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