andrew_gelman_stats andrew_gelman_stats-2011 andrew_gelman_stats-2011-975 knowledge-graph by maker-knowledge-mining
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Introduction: Sometimes my computer goes blank when I’m giving a presentation and I haven’t clicked on anything for awhile. I mentioned this to Malecki and he installed Caffeine on my computer; problem solved.
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same-blog 1 0.99999988 975 andrew gelman stats-2011-10-27-Caffeine keeps your Mac awake
Introduction: Sometimes my computer goes blank when I’m giving a presentation and I haven’t clicked on anything for awhile. I mentioned this to Malecki and he installed Caffeine on my computer; problem solved.
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Introduction: Our “arm” package in R requires Doug Bates’s “lme4″ which fits multilevel models. lme4 is currently having some problems on the Mac. But installation on the Mac can be done; it just takes a bit of work. I have two sets of instructions below. From Yu-Sung: If you have MAC OS DVD, you should install developer X code packages from it. Otherwise, install them from here . After this, do the following in R: install.packages(“lme4″, type = “source”) Then you will have lme4 in R and you can install arm without a problem. And, from David Ozonoff: I installed the lme4 package via the Package Installer but this didn’t work, of course. I then installed, via this link , gfortran which seemed to put the libraries in the right place (I had earlier installed via Fink the gcc42 compiler, so I’m not sure if this is required or not). I then ran, in R, this: install.packages(c(“Matrix”,”lme4″), repos=”http://R-Forge.R-project.org”) This does not appear to work since it wi
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Introduction: Last month I wrote : Computer scientists are often brilliant but they can be unfamiliar with what is done in the worlds of data collection and analysis. This goes the other way too: statisticians such as myself can look pretty awkward, reinventing (or failing to reinvent) various wheels when we write computer programs or, even worse, try to design software.Andrew MacNamara writes: Andrew MacNamara followed up with some thoughts: I [MacNamara] had some basic statistics training through my MBA program, after having completed an undergrad degree in computer science. Since then I’ve been very interested in learning more about statistical techniques, including things like GLM and censored data analyses as well as machine learning topics like neural nets, SVMs, etc. I began following your blog after some research into Bayesian analysis topics and I am trying to dig deeper on that side of things. One thing I have noticed is that there seems to be a distinction between data analysi
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Introduction: Aleks sends in this item from Gabriel Florit on choropleth classification systems. Oddly enough, Malecki and I were just talking about color mapping schemes earlier today.
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Introduction: Just in time for the new semester: This time I’m sticking with the plan : 1. Don’t open a message until I’m ready to deal with it. 2. Don’t store anything–anything–in the inbox. 3. Put to-do items in the (physical) bookje rather than the (computer) “desktop.” 4. Never read email before 4pm. (This is the one rule I have been following. 5. Only one email session per day. (I’ll have to see how this one works.)
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same-blog 1 0.97421163 975 andrew gelman stats-2011-10-27-Caffeine keeps your Mac awake
Introduction: Sometimes my computer goes blank when I’m giving a presentation and I haven’t clicked on anything for awhile. I mentioned this to Malecki and he installed Caffeine on my computer; problem solved.
Introduction: Ben Hyde sends along this : Stuck in the middle of the supplemental data, reporting the total workup for their compounds, was this gem: Emma, please insert NMR data here! where are they? and for this compound, just make up an elemental analysis . . . I’m reminded of our recent discussions of coauthorship, where I argued that I see real advantages to having multiple people taking responsibility for the result. Jay Verkuilen responded: “On the flipside of collaboration . . . is diffusion of responsibility, where everybody thinks someone else ‘has that problem’ and thus things don’t get solved.” That’s what seems to have happened (hilariously) here.
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Introduction: John Transue sends along a link to this software for extracting data from graphs. I haven’t tried it out but it could be useful to somebody out there?
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Introduction: Maurizio Pisati sends along this presentation of work with Valeria Glorioso. He writes: “Our major problem, now, is uncertainty estimation — we’re still struggling to find a solution appropriate to the Stata environment.”
5 0.5392974 1660 andrew gelman stats-2013-01-08-Bayesian, Permutable Symmetries
Introduction: Mike Betancourt sends along this paper . Could be interesting, no? Note the heavy tail on the CDF in Figure 3, exhibiting weakened median time since 1999. And, as you can see from the bibliography, the work draws on a variety of sources:
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Introduction: Sometimes my computer goes blank when I’m giving a presentation and I haven’t clicked on anything for awhile. I mentioned this to Malecki and he installed Caffeine on my computer; problem solved.
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Introduction: This seems like the sort of thing I would like: Drawing from My Mind’s Eye: Dorothea Rockburne in Conversation with David Cohen Introduced by Nina Samuel Thursday, November 29 6 pm BGC, 38 West 86th Street Benoît Mandelbrot, unusual among mathematicians of the twentieth century, harnessed the power of visual images to express his theories and to pursue new lines of thought. In this conversation artist Dorothea Rockburne will share memories of studying with mathematician Max Dehn at Black Mountain College, of meeting Mandelbrot, and discuss her recent work. Exhibition curator Nina Samuel will discuss the related exhibition “The Islands of Benoît Mandelbrot: Fractals, Chaos, and the Materiality of Thinking,” on view in the BGC Focus Gallery through January 27, 2013. David Cohen is editor and publisher of artcritical.com as well as founder and moderator of The Review Panel. Dorothea Rockburne is a distinguished artist whose work has been inspired by her lifelong st
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Introduction: Several months ago, I wrote : One challenge, though, is that uncovering the problem [of scientific fraud] and forcing the retraction is a near-thankless job. That’s one reason I don’t mind if Uri Simonsohn is treated as some sort of hero or superstar for uncovering multiple cases of research fraud. Some people might feel there’s something unseemly about Simonsohn doing this . . . OK, fine, but let’s talk incentives. If retractions are a good thing, and fraudsters and plagiarists are not generally going to retract on their own, then somebody’s going to have to do the hard work of discovering, exposing, and confronting scholarly misconduct. If these discoverers, exposers, and confronters are going to be attacked back by their targets (which would be natural enough) and they’re going to be attacked by the fraudsters’ friends and colleagues (also natural) and even have their work disparaged by outsiders who think they’re going too far, then, hey, they need some incentives in the othe
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Introduction: I opened the paper today and saw this from Paul Krugman, on Jack Welch, the former chairman of General Electric, who posted an assertion on Twitter that the [recent unemployment data] had been cooked to help President Obama’s re-election campaign. His claim was quickly picked up by right-wing pundits and media personalities. It was nonsense, of course. Job numbers are prepared by professional civil servants, at an agency that currently has no political appointees. But then maybe Mr. Welch — under whose leadership G.E. reported remarkably smooth earnings growth, with none of the short-term fluctuations you might have expected (fluctuations that reappeared under his successor) — doesn’t know how hard it would be to cook the jobs data. I was curious so I googled *general electric historical earnings*. It was surprisingly difficult to find the numbers! Most of the links just went back to 2011, or to 2008. Eventually I came across this blog by Barry Ritholtz that showed this
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Introduction: I’m a few weeks behind in my New Yorker reading and so just recently read this fascinating article by Ryan Lizza on the current administration’s foreign policy. He gives some insights into the transformation Obama from antiwar candidate to a president conducting three wars. Speaking as a statistician, though, what grabbed my eye was a doctrine of journalist/professor/policymaker Samantha Power. Lizza writes: In 2002, after graduating from Harvard Law School, she wrote “A Problem from Hell,” which surveyed the grim history of six genocides committed in the twentieth century. Propounding a liberal-interventionist view, Power argued that “mass killing” on the scale of Rwanda or Bosnia must be prevented by other nations, including the United States. She wrote that America and its allies rarely have perfect information about when a regime is about to commit genocide; a President, therefore, must have “a bias toward belief” that massacres are imminent. From a statistical perspect
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