andrew_gelman_stats andrew_gelman_stats-2014 andrew_gelman_stats-2014-2206 knowledge-graph by maker-knowledge-mining

2206 andrew gelman stats-2014-02-10-On deck this week


meta infos for this blog

Source: html

Introduction: This blog has roughly a month’s worth of items waiting to be posted. I post about once a day, sometimes rescheduling posts to make room for something topical. Anyway, it struck me that I know what’s coming up, but you don’t. So, here’s what we have for you during the next few days: Mon: More on US health care overkill Tues: My talks in Bristol this Wed and London this Thurs Wed: How to think about “identifiability” in Bayesian inference? Thurs: Stopping rules and Bayesian analysis Fri: The popularity of certain baby names is falling off the clifffffffffffff Plus anything our cobloggers might choose to post during these days. And, if Woody Allen or Ed Wegman or anyone else newsworthy asks us to publish an op-ed for them, we’ll consider it. Enjoy.


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 This blog has roughly a month’s worth of items waiting to be posted. [sent-1, score-0.463]

2 I post about once a day, sometimes rescheduling posts to make room for something topical. [sent-2, score-0.415]

3 Anyway, it struck me that I know what’s coming up, but you don’t. [sent-3, score-0.223]

4 So, here’s what we have for you during the next few days: Mon: More on US health care overkill Tues: My talks in Bristol this Wed and London this Thurs Wed: How to think about “identifiability” in Bayesian inference? [sent-4, score-0.558]

5 Thurs: Stopping rules and Bayesian analysis Fri: The popularity of certain baby names is falling off the clifffffffffffff Plus anything our cobloggers might choose to post during these days. [sent-5, score-1.167]

6 And, if Woody Allen or Ed Wegman or anyone else newsworthy asks us to publish an op-ed for them, we’ll consider it. [sent-6, score-0.666]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('thurs', 0.289), ('wed', 0.289), ('identifiability', 0.21), ('woody', 0.21), ('bristol', 0.194), ('cobloggers', 0.188), ('newsworthy', 0.183), ('overkill', 0.179), ('allen', 0.164), ('falling', 0.161), ('stopping', 0.159), ('popularity', 0.154), ('fri', 0.152), ('london', 0.149), ('mon', 0.149), ('tues', 0.149), ('waiting', 0.142), ('wegman', 0.142), ('struck', 0.14), ('baby', 0.139), ('ed', 0.138), ('talks', 0.126), ('items', 0.121), ('room', 0.12), ('roughly', 0.118), ('enjoy', 0.118), ('plus', 0.117), ('bayesian', 0.116), ('names', 0.115), ('post', 0.115), ('us', 0.112), ('asks', 0.108), ('posts', 0.108), ('month', 0.107), ('rules', 0.107), ('choose', 0.098), ('days', 0.097), ('publish', 0.096), ('health', 0.092), ('anyway', 0.091), ('certain', 0.09), ('care', 0.087), ('anyone', 0.086), ('coming', 0.083), ('worth', 0.082), ('else', 0.081), ('next', 0.074), ('day', 0.073), ('sometimes', 0.072), ('inference', 0.071)]

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same-blog 1 1.0000001 2206 andrew gelman stats-2014-02-10-On deck this week

Introduction: This blog has roughly a month’s worth of items waiting to be posted. I post about once a day, sometimes rescheduling posts to make room for something topical. Anyway, it struck me that I know what’s coming up, but you don’t. So, here’s what we have for you during the next few days: Mon: More on US health care overkill Tues: My talks in Bristol this Wed and London this Thurs Wed: How to think about “identifiability” in Bayesian inference? Thurs: Stopping rules and Bayesian analysis Fri: The popularity of certain baby names is falling off the clifffffffffffff Plus anything our cobloggers might choose to post during these days. And, if Woody Allen or Ed Wegman or anyone else newsworthy asks us to publish an op-ed for them, we’ll consider it. Enjoy.

2 0.2358464 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

3 0.22851884 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 0.21624218 2321 andrew gelman stats-2014-05-05-On deck this week

Introduction: Mon: Can we make better graphs of global temperature history? Tues: Priors I don’t believe Wed: Cause he thinks he’s so-phisticated Thurs: Discussion with Steven Pinker on research that is attached to data that are so noisy as to be essentially uninformative Fri: Combining forecasts: Evidence on the relative accuracy of the simple average and Bayesian model averaging for predicting social science problems Sat: What property is important in a risk prediction model? Discrimination or calibration? Sun: “What should you talk about?” Plus whatever the co-bloggers want to throw in. Right now I’m super-excited about wedge sampling but I’ll let you know more about that once the paper is done.

5 0.21184719 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

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8 0.18187785 2253 andrew gelman stats-2014-03-17-On deck this week: Revisitings

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16 0.1636602 2207 andrew gelman stats-2014-02-11-My talks in Bristol this Wed and London this Thurs

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lsi for this blog:

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[(0, 0.111), (1, -0.006), (2, -0.088), (3, 0.03), (4, -0.027), (5, 0.017), (6, -0.036), (7, -0.045), (8, 0.031), (9, -0.105), (10, -0.046), (11, 0.273), (12, 0.141), (13, 0.248), (14, -0.002), (15, 0.01), (16, 0.053), (17, 0.005), (18, 0.067), (19, -0.014), (20, -0.024), (21, 0.055), (22, 0.003), (23, 0.06), (24, 0.025), (25, -0.064), (26, -0.008), (27, 0.038), (28, -0.011), (29, 0.021), (30, 0.021), (31, -0.005), (32, -0.014), (33, 0.022), (34, 0.024), (35, -0.032), (36, -0.035), (37, -0.053), (38, -0.029), (39, 0.013), (40, 0.002), (41, -0.015), (42, -0.027), (43, -0.008), (44, 0.014), (45, 0.042), (46, 0.037), (47, 0.033), (48, 0.054), (49, 0.051)]

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same-blog 1 0.94830006 2206 andrew gelman stats-2014-02-10-On deck this week

Introduction: This blog has roughly a month’s worth of items waiting to be posted. I post about once a day, sometimes rescheduling posts to make room for something topical. Anyway, it struck me that I know what’s coming up, but you don’t. So, here’s what we have for you during the next few days: Mon: More on US health care overkill Tues: My talks in Bristol this Wed and London this Thurs Wed: How to think about “identifiability” in Bayesian inference? Thurs: Stopping rules and Bayesian analysis Fri: The popularity of certain baby names is falling off the clifffffffffffff Plus anything our cobloggers might choose to post during these days. And, if Woody Allen or Ed Wegman or anyone else newsworthy asks us to publish an op-ed for them, we’ll consider it. Enjoy.

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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

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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

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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

5 0.82525688 2253 andrew gelman stats-2014-03-17-On deck this week: Revisitings

Introduction: Just for fun I thought I’d run a week’s worth of old posts, just some things I came across when searching for various things. Of course I could just post the links right here but instead I’ll repost with my comments on how things have changed in the intervening years. Mon : In the best alternative histories, the real world is what’s ultimately real (from 2005) Tues : Comments on an anti-Bayesian (from 2006) Wed : How Americans vote (from 2012) Thurs : The candy weighing demonstration, or, the unwisdom of crowds (from 2008) Fri : Random matrices in the news (from 2010) Sat : Picking pennies in front of a steamroller: A parable comes to life (from 2011) Sun : Greg Mankiw’s utility function (from 2010)

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[(4, 0.016), (16, 0.049), (21, 0.027), (24, 0.115), (37, 0.027), (42, 0.02), (43, 0.044), (44, 0.021), (47, 0.02), (50, 0.022), (52, 0.019), (59, 0.081), (71, 0.104), (95, 0.016), (98, 0.037), (99, 0.276)]

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Introduction: This blog has roughly a month’s worth of items waiting to be posted. I post about once a day, sometimes rescheduling posts to make room for something topical. Anyway, it struck me that I know what’s coming up, but you don’t. So, here’s what we have for you during the next few days: Mon: More on US health care overkill Tues: My talks in Bristol this Wed and London this Thurs Wed: How to think about “identifiability” in Bayesian inference? Thurs: Stopping rules and Bayesian analysis Fri: The popularity of certain baby names is falling off the clifffffffffffff Plus anything our cobloggers might choose to post during these days. And, if Woody Allen or Ed Wegman or anyone else newsworthy asks us to publish an op-ed for them, we’ll consider it. Enjoy.

2 0.93302959 139 andrew gelman stats-2010-07-10-Life in New York, Then and Now

Introduction: Interesting mini-memoir from John Podhoretz about the Upper West Side, in his words, “the most affluent shtetl the world has ever seen.” The only part I can’t quite follow is his offhand remark, “It is an expensive place to live, but then it always was.” I always thought that, before 1985 or so, the Upper West Side wasn’t so upscale. People at Columbia tell all sorts of stories about how things used to be in the bad old days. I have one other comment. Before giving it, let me emphasize that enjoyed reading Podhoretz’s article and, by making the comment below, I’m not trying to shoot Podhoretz down; rather, I’m trying to help out by pointing out a habit in his writing that might be getting in the way of his larger messages. Podhoretz writes the following about slum clearance: Over the course of the next four years, 20 houses on the block would be demolished and replaced with a high school named for Louis Brandeis and a relocated elementary school. Of the 35 brownstones t

3 0.91725552 1404 andrew gelman stats-2012-07-03-Counting gays

Introduction: Gary Gates writes : In a recent study, the author of this article estimated that the self- identified lesbian, gay, bisexual, and transgender (LGBT) community makes up 3.8 percent of the American population. The author’s estimate was far lower than many scholars and activists had contended, and it included a relatively high proportion of persons self-identifying as bisexuals. This article responds to two of the central criticisms that arose in the controversy that followed. First, in response to claims that his estimate did not account for people who are in the closet, the author describes how demographers might measure the size of the closet. Second, in response to those who either ignored the reported large incidence of bisexuality or misconstrued the meaning of that incidence, the Author considers how varying frameworks for conceptualizing sexual orientation might alter the ratio of lesbian or gay individuals to bisexuals. This article goes on to offer observations about the ch

4 0.91677862 1268 andrew gelman stats-2012-04-18-Experimenting on your intro stat course, as a way of teaching experimentation in your intro stat course (and also to improve the course itself)

Introduction: While visiting the education school at the University of Pennsylvania a couple months ago, I had a long conversation with Bob Boruch, a prominent researcher in the field of evidence-based education. We shared Fred Mosteller stories and talked about a lot of other things too. Boruch sent me an article about teaching randomized controlled trials to education students, which gave me the following idea which connects to my longstanding embarrassment (and subject of my next column on ethics, forthcoming in Chance magazine) about the lack of systematic measurement, sampling, or experimentation in our own teaching efforts. Anyway, here’s my idea for experimentation in statistics teaching, an idea that I think could work particularly well in classes with education students. Each class could, as part of the course, design an educational experiment to be performed on next year’s class. Easier said than done, I know, but perhaps ed school students would be particularly motivated to do t

5 0.91666532 1764 andrew gelman stats-2013-03-15-How do I make my graphs?

Introduction: Someone who wishes to remain anonymous writes: I’ve been following your blog a long time and enjoy your posts on visualization/statistical graphics matters. I don’t recall however you ever describing the details of your setup for plotting. I’m a new R user (convert from matplotlib) and would love to know your thoughts on the ideal setup: do you use mainly the R base? Do you use lattice? What do you think of ggplot2? etc. I found ggplot2 nearly indecipherable until a recent eureka moment, and I think its default theme is a waste tremendous ink (all those silly grey backgrounds and grids are really unnecessary), but if you customize that away it can be made to look like ordinary, pretty statistical graphs. Feel free to respond on your blog, but if you do, please remove my name from the post (my colleagues already make fun of me for thinking about visualization too much.) I love that last bit! Anyway, my response is that I do everything in base graphics (using my

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