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Andrew Gelman

statmodeling.stat.columbia.edu

2016

On deck this weekoriginal ↗
25 Apr 2016
Risk aversion is a two-way streetoriginal ↗
24 Apr 2016
What is the “true prior distribution”? A hard-nosed answer.original ↗
23 Apr 2016
Stochastic natural-gradient EPoriginal ↗
22 Apr 2016
The causal inference competition you’ve all been waiting for!original ↗
21 Apr 2016
A new idea for a science core course based entirely on computer simulationoriginal ↗
21 Apr 2016
“Cancer Research Is Broken”original ↗
20 Apr 2016
“if you add a few more variables, you can do a better job at predictions”original ↗
19 Apr 2016
DG XXXVII: Lumosity fined $2 million for deceiving customers about its “brain training” programsoriginal ↗
18 Apr 2016
On deck this weekoriginal ↗
18 Apr 2016
David MacKayoriginal ↗
18 Apr 2016
A short answer to a short questionoriginal ↗
17 Apr 2016
Avoiding model selection in Bayesian social researchoriginal ↗
16 Apr 2016
Put your own questions on the General Social Survey!original ↗
15 Apr 2016
Stan Coding Corner: O(N) Change-Point Program with Clever Forward-Backward Calculationoriginal ↗
14 Apr 2016
These Twin Names Match, But Aren’t “Matchy-Matchy”original ↗
14 Apr 2016
Bayesian Umpires: The coolest sports-statistics idea since the hot hand!original ↗
13 Apr 2016
2016 Atlantic Causal Inference Conferenceoriginal ↗
12 Apr 2016
Why I don’t believe Fergus Simpson’s Big Alien Theoryoriginal ↗
12 Apr 2016
GIGOoriginal ↗
11 Apr 2016
On deck this weekoriginal ↗
11 Apr 2016
Should I be upset that the NYT credulously reviewed a book promoting iffy science?original ↗
10 Apr 2016
Black Box Challengeoriginal ↗
9 Apr 2016
John Yoo bloggingoriginal ↗
8 Apr 2016
Gay persuasion updateoriginal ↗
7 Apr 2016
Selection bias, or, some things are better off left unsaidoriginal ↗
7 Apr 2016
Postdoc in Alabama on obesity-related research using statisticsoriginal ↗
6 Apr 2016
These celebrity photos are incredible: Type S errors in use!original ↗
6 Apr 2016
Best Disclaimer Everoriginal ↗
5 Apr 2016
Somebody’s reading our research.original ↗
5 Apr 2016
“A strong anvil need not fear the hammer”original ↗
4 Apr 2016
On deck this weekoriginal ↗
4 Apr 2016
A question about software for an online surveyoriginal ↗
4 Apr 2016
For Opening Dayoriginal ↗
3 Apr 2016
Himmicanes and hurricanes updateoriginal ↗
2 Apr 2016
In the biggest advance in applied mathematics since the most recent theorem that Stephen Wolfram paid for . . .original ↗
1 Apr 2016
Gresham’s Law of experimental methodsoriginal ↗
31 Mar 2016
Numbers too good to be true? Or: Thanks, Obama!?original ↗
30 Mar 2016
Lottery is eviloriginal ↗
30 Mar 2016
“Bayesians (quite rightly so according to the theory) . . .”original ↗
29 Mar 2016
He’s looking for Bayesian time-series examplesoriginal ↗
28 Mar 2016
What is a Republican?original ↗
28 Mar 2016
On deck this weekoriginal ↗
28 Mar 2016
“Rbitrary Standards”original ↗
27 Mar 2016
He does mathematical modeling and is asking for career advice: wants to move from biology to social scienceoriginal ↗
26 Mar 2016
Data-dependent prior as an approximation to hierarchical modeloriginal ↗
25 Mar 2016
Multilevel regressionoriginal ↗
24 Mar 2016
In defense of endless argumentsoriginal ↗
23 Mar 2016
Will. Not. Rise. To. Bait.original ↗
23 Mar 2016
Thinking about this beautiful text sentiment visualizer yields a surprising insight about statistical graphicsoriginal ↗
22 Mar 2016
Noise noise noise noise noiseoriginal ↗
21 Mar 2016
On deck this weekoriginal ↗
21 Mar 2016
My quick answer is that I would analyze all 10 outcomes using a multilevel model.original ↗
20 Mar 2016
Actually, I’d just do full Bayesoriginal ↗
19 Mar 2016
I definitely wouldn’t frame it as “To determine if the time series has a change-point or not.” The time series, whatever it is, has a change point at every time. The question might be, “Is a change point necessary to model these data?” That’s a question I could get behind.original ↗
18 Mar 2016
Stan Case Studies Launchesoriginal ↗
18 Mar 2016
Kalesan, Fagan, and Galea respond to criticism of their paper on gun laws and deathsoriginal ↗
17 Mar 2016
Swimsuit special: “A pure Bayesian or pure non-Bayesian is not forever doomed to use out-of-date methods, but at any given time the purist will be missing some of the most effective current techniques.”original ↗
17 Mar 2016
Lack of free lunch again rears ugly headoriginal ↗
16 Mar 2016
Stan backronym just a jokeoriginal ↗
15 Mar 2016
How should statisticians and economists think about recreational gambling?original ↗
15 Mar 2016
Recently in the sister blogoriginal ↗
14 Mar 2016
On deck this weekoriginal ↗
14 Mar 2016
The unbelievable reason that Jennifer Lawrence is using Waic and cross-validation for survival modelsoriginal ↗
13 Mar 2016
0.05 is a jokeoriginal ↗
12 Mar 2016
“Why this gun control study might be too good to be true”original ↗
11 Mar 2016
Statistics is like basketball, or knittingoriginal ↗
11 Mar 2016
Good advice can do you badoriginal ↗
10 Mar 2016
Le Menu Dit : a translation apporiginal ↗
10 Mar 2016
Bruised and battered, I couldn’t tell what I felt. I was ungeneralizable to myself.original ↗
9 Mar 2016
Postdoctoral Researcher and Research Fellow positions in Computer Science in Helsinki, Finlandoriginal ↗
9 Mar 2016
Bayesian inference for network linksoriginal ↗
8 Mar 2016
Stan – The Bayesian Data Scientist’s Best Friendoriginal ↗
8 Mar 2016
Smiley faces were never seenoriginal ↗
7 Mar 2016
The problems with p-values are not just with p-values: My comments on the recent ASA statementoriginal ↗
7 Mar 2016
On deck this weekoriginal ↗
7 Mar 2016
I was wrongoriginal ↗
6 Mar 2016
Replication crisis crisis: Why I continue in my “pessimistic conclusions about reproducibility”original ↗
5 Mar 2016
“The Bayesian Second Law of Thermodynamics”original ↗
5 Mar 2016
Creationist article Article with creationist language published in Plos-Oneoriginal ↗
4 Mar 2016
More on replication crisisoriginal ↗
3 Mar 2016
At this point, even Tom Cruise is skeptical about claims of social priming. (Click to find out why)original ↗
3 Mar 2016
What parts of the country are most religious?original ↗
2 Mar 2016
No, this post is not 30 days early: Psychological Science backs away from null hypothesis significance testingoriginal ↗
2 Mar 2016
He’s looking for a textbook that explains Bayesian methods for non-parametric testsoriginal ↗
2 Mar 2016
Having trouble planning a replication? Here’s how the scientific publishing process gets in the way.original ↗
1 Mar 2016
Fitting the birthday model in Stanoriginal ↗
29 Feb 2016
On deck this weekoriginal ↗
29 Feb 2016
Can you trust international surveys?original ↗
28 Feb 2016
He wants to teach himself some statisticsoriginal ↗
28 Feb 2016
Graphical Data Analysis with Roriginal ↗
27 Feb 2016
Job opening . . . for a data graphics editor!original ↗
26 Feb 2016
Probability paradox may be killing thousandsoriginal ↗
25 Feb 2016
Fundamental difficulty of inference for a ratio when the denominator could be positive or negativeoriginal ↗
25 Feb 2016
Nonprofit Stan!original ↗
24 Feb 2016
Stan does Valentine’soriginal ↗
24 Feb 2016
Mister P: Challenges in Generalizing from Sample to Population (my talk at the Ross-Royall Symposium at Johns Hopkins this Friday)original ↗
23 Feb 2016
An apology and a note on Stockholm Syndromeoriginal ↗
23 Feb 2016
Too big to fail: Why it’s unrealistic to expect scientific journals to retract their huge backlog of erroneous papersoriginal ↗
22 Feb 2016
On deck this weekoriginal ↗
22 Feb 2016
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