andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-227 knowledge-graph by maker-knowledge-mining
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Introduction: Aleks pointed me to this .
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same-blog 1 1.0 227 andrew gelman stats-2010-08-23-Visualization magazine
Introduction: Aleks pointed me to this .
2 0.66659117 1063 andrew gelman stats-2011-12-16-Suspicious histogram bars
Introduction: Aleks sent me this (I’m not sure from where):
3 0.51131076 281 andrew gelman stats-2010-09-16-NSF crowdsourcing
Introduction: I have no idea what this and this are, but Aleks passed these on, and maybe some of you will find them interesting.
4 0.50601643 909 andrew gelman stats-2011-09-15-7 steps to successful infographics
Introduction: Aleks pointed me to this interesting article by Sarah Slobin. I don’t have any good way of summarizing it, so you’ll just have to follow the link and read it.
5 0.48464799 1302 andrew gelman stats-2012-05-06-Fun with google autocomplete
Introduction: Aleks points us to this idea of labeling for news.
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8 0.25816777 455 andrew gelman stats-2010-12-07-Some ideas on communicating risks to the general public
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12 0.20743695 1152 andrew gelman stats-2012-02-03-Web equation
13 0.20257977 1064 andrew gelman stats-2011-12-16-The benefit of the continuous color scale
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16 0.16444728 554 andrew gelman stats-2011-02-04-An addition to the model-makers’ oath
17 0.15853889 207 andrew gelman stats-2010-08-14-Pourquoi Google search est devenu plus raisonnable?
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19 0.13004117 862 andrew gelman stats-2011-08-20-An illustrated calculus textbook
20 0.12008108 639 andrew gelman stats-2011-03-31-Bayes: radical, liberal, or conservative?
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same-blog 1 0.99973631 227 andrew gelman stats-2010-08-23-Visualization magazine
Introduction: Aleks pointed me to this .
2 0.98664469 1063 andrew gelman stats-2011-12-16-Suspicious histogram bars
Introduction: Aleks sent me this (I’m not sure from where):
3 0.96982318 281 andrew gelman stats-2010-09-16-NSF crowdsourcing
Introduction: I have no idea what this and this are, but Aleks passed these on, and maybe some of you will find them interesting.
4 0.95773834 1302 andrew gelman stats-2012-05-06-Fun with google autocomplete
Introduction: Aleks points us to this idea of labeling for news.
5 0.88389218 1064 andrew gelman stats-2011-12-16-The benefit of the continuous color scale
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.
6 0.86961895 441 andrew gelman stats-2010-12-01-Mapmaking software
7 0.85038006 795 andrew gelman stats-2011-07-10-Aleks says this is the future of visualization
8 0.81553173 909 andrew gelman stats-2011-09-15-7 steps to successful infographics
9 0.77290845 1958 andrew gelman stats-2013-07-27-Teaching is hard
10 0.72998375 1152 andrew gelman stats-2012-02-03-Web equation
11 0.65505195 1402 andrew gelman stats-2012-07-01-Ice cream! and temperature
12 0.64357805 428 andrew gelman stats-2010-11-24-Flawed visualization of U.S. voting maybe has some good features
13 0.58782971 1487 andrew gelman stats-2012-09-08-Animated drought maps
14 0.58358186 455 andrew gelman stats-2010-12-07-Some ideas on communicating risks to the general public
15 0.5660181 207 andrew gelman stats-2010-08-14-Pourquoi Google search est devenu plus raisonnable?
16 0.54191542 965 andrew gelman stats-2011-10-19-Web-friendly visualizations in R
17 0.51561838 862 andrew gelman stats-2011-08-20-An illustrated calculus textbook
18 0.44580838 1423 andrew gelman stats-2012-07-21-Optimizing software in C++
19 0.40198052 1172 andrew gelman stats-2012-02-17-Rare name analysis and wealth convergence
20 0.39340428 1106 andrew gelman stats-2012-01-08-Intro to splines—with cool graphs
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same-blog 1 0.98147273 227 andrew gelman stats-2010-08-23-Visualization magazine
Introduction: Aleks pointed me to this .
2 0.49751571 1232 andrew gelman stats-2012-03-27-Banned in NYC school tests
Introduction: The list includes “hunting” but not “fishing,” so that’s cool. I wonder how they’d feel about a question involving different cuts of meat. In any case, I’m happy to see that “Bayes” is not on the banned list. P.S. Russell explains .
3 0.39849785 1494 andrew gelman stats-2012-09-13-Watching the sharks jump
Introduction: Recently in the sister blog: Niall Ferguson is a hack . Niall Ferguson is not always a hack, sometimes he just makes silly mistakes . Paul Krugman is not a hack, but he sometimes he goes over the top . Reflections on hacks . P.S. Yes, technically I’m misusing the expression, it should really be something like, “Watching the sharks get jumped.” But I liked the image of the jumping shark.
4 0.39348823 672 andrew gelman stats-2011-04-20-The R code for those time-use graphs
Introduction: By popular demand, here’s my R script for the time-use graphs : # The data a1 <- c(4.2,3.2,11.1,1.3,2.2,2.0) a2 <- c(3.9,3.2,10.0,0.8,3.1,3.1) a3 <- c(6.3,2.5,9.8,0.9,2.2,2.4) a4 <- c(4.4,3.1,9.8,0.8,3.3,2.7) a5 <- c(4.8,3.0,9.9,0.7,3.3,2.4) a6 <- c(4.0,3.4,10.5,0.7,3.3,2.1) a <- rbind(a1,a2,a3,a4,a5,a6) avg <- colMeans (a) avg.array <- t (array (avg, rev(dim(a)))) diff <- a - avg.array country.name <- c("France", "Germany", "Japan", "Britain", "USA", "Turkey") # The line plots par (mfrow=c(2,3), mar=c(4,4,2,.5), mgp=c(2,.7,0), tck=-.02, oma=c(3,0,4,0), bg="gray96", fg="gray30") for (i in 1:6){ plot (c(1,6), c(-1,1.7), xlab="", ylab="", xaxt="n", yaxt="n", bty="l", type="n") lines (1:6, diff[i,], col="blue") points (1:6, diff[i,], pch=19, col="black") if (i>3){ axis (1, c(1,3,5), c ("Work,\nstudy", "Eat,\nsleep", "Leisure"), mgp=c(2,1.5,0), tck=0, cex.axis=1.2) axis (1, c(2,4,6), c ("Unpaid\nwork", "Personal\nCare", "Other"), mgp=c(2,1.5,0),
5 0.3837623 964 andrew gelman stats-2011-10-19-An interweaving-transformation strategy for boosting MCMC efficiency
Introduction: Yaming Yu and Xiao-Li Meng write in with a cool new idea for improving the efficiency of Gibbs and Metropolis in multilevel models: For a broad class of multilevel models, there exist two well-known competing parameterizations, the centered parameterization (CP) and the non-centered parameterization (NCP), for effective MCMC implementation. Much literature has been devoted to the questions of when to use which and how to compromise between them via partial CP/NCP. This article introduces an alternative strategy for boosting MCMC efficiency via simply interweaving—but not alternating—the two parameterizations. This strategy has the surprising property that failure of both the CP and NCP chains to converge geometrically does not prevent the interweaving algorithm from doing so. It achieves this seemingly magical property by taking advantage of the discordance of the two parameterizations, namely, the sufficiency of CP and the ancillarity of NCP, to substantially reduce the Markovian
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9 0.33013329 2272 andrew gelman stats-2014-03-29-I agree with this comment
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11 0.27994555 730 andrew gelman stats-2011-05-25-Rechecking the census
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14 0.26006174 1049 andrew gelman stats-2011-12-09-Today in the sister blog
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20 0.24972133 1275 andrew gelman stats-2012-04-22-Please stop me before I barf again