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Andrew Gelman

statmodeling.stat.columbia.edu

2017

Hello, world! Stan, PyMC3, and Edwardoriginal ↗
31 May 2017
Click-through graphics: A demonstration visualization project for someoneoriginal ↗
31 May 2017
Stan programmer position at Columbiaoriginal ↗
30 May 2017
Try asking someone in the real estate businessoriginal ↗
30 May 2017
Come to Seattle to work with us on Stan!original ↗
30 May 2017
StanCon 2018 is live!original ↗
30 May 2017
Static sensitivity analysisoriginal ↗
29 May 2017
All the things we have to do that we don’t really need to do: The social cost of junk scienceoriginal ↗
28 May 2017
Mike Bostock graphs federal income tax brackets and tax rates, and I connect to some general principles of statistical graphicsoriginal ↗
28 May 2017
Taxes and data visualizationoriginal ↗
27 May 2017
Theoretical Statistics is the Theory of Applied Statistics: How to Think About What We Dooriginal ↗
26 May 2017
Support for presidential candidates at elite law firms in 2012 and 2016original ↗
26 May 2017
Visualizing your fitted Stan model using ShinyStan without interfering with your Rstudio sessionoriginal ↗
25 May 2017
San Francisco housing debate: A yimby respondsoriginal ↗
25 May 2017
The Other Side of the Nightoriginal ↗
24 May 2017
Take two on Laura Arnold’s TEDx talk.original ↗
24 May 2017
PCI Statistics: A preprint review peer community in statisticsoriginal ↗
24 May 2017
This company wants to hire people who can program in R or Python and do statistical modeling in Stanoriginal ↗
24 May 2017
How is a politician different from a 4-year-old?original ↗
23 May 2017
Design top down, Code bottom uporiginal ↗
22 May 2017
How to think scientifically about scientists’ proposals for fixing scienceoriginal ↗
22 May 2017
An obvious fact about constrained systems.original ↗
21 May 2017
Some natural solutions to the p-value communication problem—and why they won’t work.original ↗
21 May 2017
#NotAll4YearOldsoriginal ↗
21 May 2017
Hotel room aliases of the statisticiansoriginal ↗
20 May 2017
A continuous hinge function for statistical modelingoriginal ↗
19 May 2017
My review of Duncan Watts’s book, “Everything is Obvious (once you know the answer)”original ↗
18 May 2017
Causal inference using Bayesian additive regression trees: some questions and answersoriginal ↗
18 May 2017
NIMBYs and economic theories: Sorry / Not Sorryoriginal ↗
17 May 2017
Using Stan for week-by-week updating of estimated soccer team abilitesoriginal ↗
17 May 2017
Higher credence for the masses: From a Ted talk?original ↗
16 May 2017
Taking Data Journalism Seriouslyoriginal ↗
16 May 2017
What is needed to do good research (hint: it’s not just the avoidance of “too much weight given to small samples, a tendency to publish positive results and not negative results, and perhaps an unconscious bias from the researchers themselves”)original ↗
15 May 2017
What’s the deal with the YIMBYs?original ↗
15 May 2017
Should computer programming be a prerequisite for learning statistics?original ↗
14 May 2017
Splines in Stan! (including priors that enforce smoothness)original ↗
13 May 2017
XXXoriginal ↗
12 May 2017
Accounting for variation and uncertaintyoriginal ↗
12 May 2017
Reality meets the DeLilloverseoriginal ↗
11 May 2017
Can you account for this?original ↗
11 May 2017
Mockery is the best medicineoriginal ↗
11 May 2017
How to interpret “p = .06” in situations where you really really want the treatment to work?original ↗
11 May 2017
“P-hacking” and the intention-to-cheat effectoriginal ↗
10 May 2017
“Everybody Lies” by Seth Stephens-Davidowitzoriginal ↗
10 May 2017
Honesty and transparency are not enoughoriginal ↗
9 May 2017
“An anonymous tip”original ↗
9 May 2017
Riddle me thisoriginal ↗
8 May 2017
What’s the difference between the French and U.S. presidential elections? Political parties.original ↗
8 May 2017
Discussion with Lee Jussim and Simine Vazire on eminence, junk science, and blind reviewingoriginal ↗
7 May 2017
The Aristocrats!original ↗
6 May 2017
A completely reasonable-sounding statement with which I strongly disagreeoriginal ↗
5 May 2017
7th graders trained to avoid Pizzagate-style data exploration—but is the training too rigid?original ↗
5 May 2017
What hypothesis testing is all about. (Hint: It’s not what you think.)original ↗
4 May 2017
“This is why FDA doesn’t like Bayes—strong prior and few data points and you can get anything”original ↗
4 May 2017
This one came in the email from July 2015original ↗
4 May 2017
The statistical crisis in science: How is it relevant to clinical neuropsychology?original ↗
3 May 2017
Prior information, not prior belieforiginal ↗
3 May 2017
The Bolt from the Blueoriginal ↗
2 May 2017
Update rstanarm to version 2.15.3original ↗
1 May 2017
Danger Signoriginal ↗
1 May 2017
Another perspective on peer revieworiginal ↗
1 May 2017
“The earth is flat (p > 0.05): Significance thresholds and the crisis of unreplicable research”original ↗
30 Apr 2017
Blue Cross Blue Shield Health Indexoriginal ↗
29 Apr 2017
Prior choice recommendations wiki !original ↗
28 Apr 2017
A whole fleet of Wansinks: is “evidence-based design” a pseudoscience that’s supporting a trillion-dollar industry?original ↗
27 Apr 2017
“Data sleaze: Uber and beyond”original ↗
26 Apr 2017
Using prior knowledge in frequentist testsoriginal ↗
26 Apr 2017
I hate R, volume 38942original ↗
26 Apr 2017
The next Lancet retraction? [“Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults”]original ↗
25 Apr 2017
Stan in St. Louis this Fridayoriginal ↗
24 Apr 2017
Stan without frontiers, Bayes without tearsoriginal ↗
24 Apr 2017
The meta-hype algorithmoriginal ↗
23 Apr 2017
Would you prefer three N=300 studies or one N=900 study?original ↗
23 Apr 2017
Drug-funded profs push drugsoriginal ↗
22 Apr 2017
Journals for insignificant resultsoriginal ↗
21 Apr 2017
Teaching Statistics: A Bag of Tricks (second edition)original ↗
20 Apr 2017
Representists versus Propertyists: RabbitDucks – being good for what?original ↗
19 Apr 2017
My proposal for JASA: “Journal” = review reports + editors’ recommendations + links to the original paper and updates + post-publication commentsoriginal ↗
19 Apr 2017
My talk this Friday in the Machine Learning in Finance workshoporiginal ↗
18 Apr 2017
Reputational incentives and post-publication review: two (partial) solutions to the misinformation problemoriginal ↗
18 Apr 2017
Donald Trump’s nomination as an unintended consequence of Citizens Unitedoriginal ↗
17 Apr 2017
Fitting hierarchical GLMs in package X is like driving car Yoriginal ↗
17 Apr 2017
“Do you think the research is sound or is it gimmicky pop science?”original ↗
17 Apr 2017
Organizations that defend junk science are pitiful suckers get conned and conned againoriginal ↗
16 Apr 2017
Causal inference conference in North Carolinaoriginal ↗
15 Apr 2017
The Efron transition? And the wit and wisdom of our statistical eldersoriginal ↗
15 Apr 2017
Causal inference conference at Columbia University on Sat 6 May: Varying Treatment Effectsoriginal ↗
14 Apr 2017
I wanna be ablatedoriginal ↗
13 Apr 2017
Air rage rageoriginal ↗
13 Apr 2017
Bayesian Posteriors are Calibrated by Definitionoriginal ↗
12 Apr 2017
Pizzagate update! Response from the Cornell University Media Relations Officeoriginal ↗
12 Apr 2017
Stacking, pseudo-BMA, and AIC type weights for combining Bayesian predictive distributionsoriginal ↗
11 Apr 2017
Beyond subjective and objective in statistics: my talk with Christian Hennig tomorrow (Wed) 5pm in Londonoriginal ↗
11 Apr 2017
Mmore from Ppnasoriginal ↗
10 Apr 2017
Molyneux expresses skepticism on hot handoriginal ↗
10 Apr 2017
Combining independent evidence using a Bayesian approach but without standard Bayesian updating?original ↗
9 Apr 2017
Cross Purposesoriginal ↗
8 Apr 2017
PPPPPPPPPPNAS!original ↗
7 Apr 2017
Dear Cornell University Public Relations Officeoriginal ↗
6 Apr 2017
Tech company wants to hire Stan programmers!original ↗
5 Apr 2017
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