andrew_gelman_stats andrew_gelman_stats-2011 andrew_gelman_stats-2011-689 knowledge-graph by maker-knowledge-mining

689 andrew gelman stats-2011-05-01-Is that what she said?


meta infos for this blog

Source: html

Introduction: Eric Booth cozies up to this article by Chloe Kiddon and Yuriy Brun (software here ). I think they make their point in a gentle yet forceful manner.


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Eric Booth cozies up to this article by Chloe Kiddon and Yuriy Brun (software here ). [sent-1, score-0.09]

2 I think they make their point in a gentle yet forceful manner. [sent-2, score-1.248]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('forceful', 0.463), ('chloe', 0.463), ('gentle', 0.403), ('booth', 0.391), ('manner', 0.29), ('eric', 0.264), ('software', 0.222), ('yet', 0.173), ('article', 0.09), ('point', 0.084), ('make', 0.075), ('think', 0.05)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 1.0 689 andrew gelman stats-2011-05-01-Is that what she said?

Introduction: Eric Booth cozies up to this article by Chloe Kiddon and Yuriy Brun (software here ). I think they make their point in a gentle yet forceful manner.

2 0.46276253 768 andrew gelman stats-2011-06-15-Faux-antique

Introduction: Isabella, Ava, and Chloe.

3 0.10295773 1237 andrew gelman stats-2012-03-30-Statisticians: When We Teach, We Don’t Practice What We Preach

Introduction: My new Chance ethics column (cowritten with Eric Loken). Click through and take a look. It’s a short article and I really like it. And here’s more Chance.

4 0.093132049 1514 andrew gelman stats-2012-09-28-AdviseStat 47% Campaign Ad

Introduction: Lee Wilkinson sends me this amusing ad for his new software, AdviseStat: The ad is a parody, but the software is real !

5 0.090974644 310 andrew gelman stats-2010-10-02-The winner’s curse

Introduction: If an estimate is statistically significant, it’s probably an overestimate of the magnitude of your effect. P.S. I think youall know what I mean here. But could someone rephrase it in a more pithy manner? I’d like to include it in our statistical lexicon.

6 0.066543981 422 andrew gelman stats-2010-11-20-A Gapminder-like data visualization package

7 0.063775808 438 andrew gelman stats-2010-11-30-I just skyped in from Kentucky, and boy are my arms tired

8 0.061133984 181 andrew gelman stats-2010-08-03-MCMC in Python

9 0.060971215 231 andrew gelman stats-2010-08-24-Yet another Bayesian job opportunity

10 0.060085967 290 andrew gelman stats-2010-09-22-Data Thief

11 0.059879661 1857 andrew gelman stats-2013-05-15-Does quantum uncertainty have a place in everyday applied statistics?

12 0.057610966 1019 andrew gelman stats-2011-11-19-Validation of Software for Bayesian Models Using Posterior Quantiles

13 0.057183422 2309 andrew gelman stats-2014-04-28-Crowdstorming a dataset

14 0.055121362 1977 andrew gelman stats-2013-08-11-Debutante Hill

15 0.053685132 2089 andrew gelman stats-2013-11-04-Shlemiel the Software Developer and Unknown Unknowns

16 0.049919311 1489 andrew gelman stats-2012-09-09-Commercial Bayesian inference software is popping up all over

17 0.049139258 1820 andrew gelman stats-2013-04-23-Foundation for Open Access Statistics

18 0.048757218 795 andrew gelman stats-2011-07-10-Aleks says this is the future of visualization

19 0.047719937 1497 andrew gelman stats-2012-09-15-Our blog makes connections!

20 0.047611389 927 andrew gelman stats-2011-09-26-R and Google Visualization


similar blogs computed by lsi model

lsi for this blog:

topicId topicWeight

[(0, 0.033), (1, -0.007), (2, -0.019), (3, 0.008), (4, -0.001), (5, -0.007), (6, -0.009), (7, -0.019), (8, -0.008), (9, -0.002), (10, -0.018), (11, -0.018), (12, 0.011), (13, 0.0), (14, -0.006), (15, 0.008), (16, -0.004), (17, 0.001), (18, -0.017), (19, 0.018), (20, 0.008), (21, 0.019), (22, 0.012), (23, 0.004), (24, 0.006), (25, 0.007), (26, -0.005), (27, -0.004), (28, 0.019), (29, -0.038), (30, 0.016), (31, -0.007), (32, 0.024), (33, -0.019), (34, -0.006), (35, -0.016), (36, -0.007), (37, 0.007), (38, -0.016), (39, -0.019), (40, 0.01), (41, -0.001), (42, -0.016), (43, 0.004), (44, 0.01), (45, 0.005), (46, -0.045), (47, 0.022), (48, 0.032), (49, 0.005)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.86751181 689 andrew gelman stats-2011-05-01-Is that what she said?

Introduction: Eric Booth cozies up to this article by Chloe Kiddon and Yuriy Brun (software here ). I think they make their point in a gentle yet forceful manner.

2 0.75505728 768 andrew gelman stats-2011-06-15-Faux-antique

Introduction: Isabella, Ava, and Chloe.

3 0.65245569 1514 andrew gelman stats-2012-09-28-AdviseStat 47% Campaign Ad

Introduction: Lee Wilkinson sends me this amusing ad for his new software, AdviseStat: The ad is a parody, but the software is real !

4 0.53497833 181 andrew gelman stats-2010-08-03-MCMC in Python

Introduction: John Salvatier forwards a note from Anand Patil that a paper on PyMC has appeared in the Journal of Statistical Software, We’ll have to check this out.

5 0.50549102 1489 andrew gelman stats-2012-09-09-Commercial Bayesian inference software is popping up all over

Introduction: Steve Cohen writes: As someone who has been working with Bayesian statistical models for the past several years, I [Cohen] have been challenged recently to describe the difference between Bayesian Networks (as implemented in BayesiaLab software) and modeling and inference using MCMC methods. I hope you have the time to give me (or to write on your blog) and relatively simple explanation that an advanced layman could understand. My reply: I skimmed the above website but I couldn’t quite see what they do. My guess is that they use MCMC and also various parametric approximations such as variational Bayes. They also seem to have something set up for decision analysis. My guess is that, compared to a general-purpose tool such as Stan, this Bayesia software is more accessible to non-academics in particular application areas (in this case, it looks like business marketing). But I can’t be sure. I’ve also heard about another company that looks to be doing something similar: h

6 0.50052154 231 andrew gelman stats-2010-08-24-Yet another Bayesian job opportunity

7 0.48333848 2089 andrew gelman stats-2013-11-04-Shlemiel the Software Developer and Unknown Unknowns

8 0.46536013 1423 andrew gelman stats-2012-07-21-Optimizing software in C++

9 0.46473235 2166 andrew gelman stats-2014-01-10-3 years out of date on the whole Dennis the dentist thing!

10 0.46083218 422 andrew gelman stats-2010-11-20-A Gapminder-like data visualization package

11 0.45610189 59 andrew gelman stats-2010-05-30-Extended Binary Format Support for Mac OS X

12 0.45599663 1497 andrew gelman stats-2012-09-15-Our blog makes connections!

13 0.45151174 266 andrew gelman stats-2010-09-09-The future of R

14 0.45025486 1237 andrew gelman stats-2012-03-30-Statisticians: When We Teach, We Don’t Practice What We Preach

15 0.44606623 330 andrew gelman stats-2010-10-09-What joker put seven dog lice in my Iraqi fez box?

16 0.4366374 1134 andrew gelman stats-2012-01-21-Lessons learned from a recent R package submission

17 0.43592528 1109 andrew gelman stats-2012-01-09-Google correlate links statistics with minorities

18 0.42998198 535 andrew gelman stats-2011-01-24-Bleg: Automatic Differentiation for Log Prob Gradients?

19 0.42886189 1403 andrew gelman stats-2012-07-02-Moving beyond hopeless graphics

20 0.41652396 290 andrew gelman stats-2010-09-22-Data Thief


similar blogs computed by lda model

lda for this blog:

topicId topicWeight

[(24, 0.134), (45, 0.039), (68, 0.582)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.8355968 689 andrew gelman stats-2011-05-01-Is that what she said?

Introduction: Eric Booth cozies up to this article by Chloe Kiddon and Yuriy Brun (software here ). I think they make their point in a gentle yet forceful manner.

2 0.56472731 842 andrew gelman stats-2011-08-07-Hey, I’m just like Picasso (but without all the babes)!

Introduction: So says Mark Liberman.

3 0.46150741 1674 andrew gelman stats-2013-01-15-Prior Selection for Vector Autoregressions

Introduction: Brendan Nyhan sends along this paper by Domenico Giannone, Michele Lenza, and Giorgio Primiceri: Vector autoregressions are flexible time series models that can capture complex dynamic interrelationships among macroeconomic variables. However, their dense parameterization leads to unstable inference and inaccurate out-of-sample forecasts, particularly for models with many variables. A solution to this problem is to use informative priors, in order to shrink the richly parameterized unrestricted model towards a parsimonious naive benchmark, and thus reduce estimation uncertainty. This paper studies the optimal choice of the informativeness of these priors, which we treat as additional parameters, in the spirit of hierarchical modeling. This approach is theoretically grounded, easy to implement, and greatly reduces the number and importance of subjective choices in the setting of the prior. Moreover, it performs very well both in terms of out-of-sample forecasting—as well as factor

4 0.369652 913 andrew gelman stats-2011-09-16-Groundhog day in August?

Introduction: A colleague writes: Due to my similar interest in plagiarism , I went to The Human Cultural and Social Landscape session. [The recipient of the American Statistical Association's Founders Award in 2002] gave the first talk in the session instead of Yasmin Said, which was modestly attended (20 or so people) and gave a sociology talk with no numbers — and no attribution to where these ideas (on Afghanistan culture) came from. Would it really have hurt to give the source of this? I’m on board with plain laziness for this one. I think he may have mentioned a number of his collaborators at the beginning, and all he talked about were cultural customs and backgrounds, no science to speak of. It’s kind of amazing to me that he actually showed up at JSM, but of course if he had any shame, he wouldn’t have repeatedly stolen copied without proper attribution in the first place. It’s not even like Doris Kearns Goodwin who reportedly produced a well-written book out of it!

5 0.36198944 924 andrew gelman stats-2011-09-24-“Income can’t be used to predict political opinion”

Introduction: What really irritates me about this column (by John Steele Gordon) is not how stupid it is (an article about “millionaires” that switches within the very same paragraph between “a nest egg of $1 million” and “a $1 million annual income” without acknowledging the difference between these concepts) or the ignorance it displays (no, it’s not true that “McCain carried the middle class” in 2008—unless by “middle class” you mean “middle class whites”). No, what really ticks me off is that, when the Red State Blue State book was coming out, we pitched a “5 myths” article for the Washington Post, and they turned us down! Perhaps the rule is: if it’s in the Opinions section of the paper, it can’t contain any facts? Or, to be more precise, any facts it contains must be counterbalanced by an equal number of inanities? Grrrrr . . . I haven’t been so annoyed since reading that New York Times article that argued that electoral politics is just like high school. Who needs political scie

6 0.3283892 877 andrew gelman stats-2011-08-29-Applying quantum probability to political science

7 0.32658169 622 andrew gelman stats-2011-03-21-A possible resolution of the albedo mystery!

8 0.29997995 958 andrew gelman stats-2011-10-14-The General Social Survey is a great resource

9 0.29665408 476 andrew gelman stats-2010-12-19-Google’s word count statistics viewer

10 0.28861997 1568 andrew gelman stats-2012-11-07-That last satisfaction at the end of the career

11 0.28586009 875 andrew gelman stats-2011-08-28-Better than Dennis the dentist or Laura the lawyer

12 0.25307322 1284 andrew gelman stats-2012-04-26-Modeling probability data

13 0.24697922 613 andrew gelman stats-2011-03-15-Gay-married state senator shot down gay marriage

14 0.24697922 712 andrew gelman stats-2011-05-14-The joys of working in the public domain

15 0.24697922 723 andrew gelman stats-2011-05-21-Literary blurb translation guide

16 0.24697922 1242 andrew gelman stats-2012-04-03-Best lottery story ever

17 0.24697922 1252 andrew gelman stats-2012-04-08-Jagdish Bhagwati’s definition of feminist sincerity

18 0.24641998 59 andrew gelman stats-2010-05-30-Extended Binary Format Support for Mac OS X

19 0.24050207 471 andrew gelman stats-2010-12-17-Attractive models (and data) wanted for statistical art show.

20 0.23897311 1437 andrew gelman stats-2012-07-31-Paying survey respondents