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361.
▲
From 0 to 100K in 10 years: nurturing open-source community [pdf]
(statmodeling.stat.columbia.edu)
2 points
luu
4 years ago
discuss
362.
▲
(Now that faculty aren’t coming into the office) Will universities recover?
(statmodeling.stat.columbia.edu)
2 points
jeffreyrogers
4 years ago
discuss
363.
▲
Bayesian inference for discrete parameters and for continuous parameters
(statmodeling.stat.columbia.edu)
2 points
luu
4 years ago
discuss
364.
▲
This Time, don’t blame the news media
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 years ago
discuss
365.
▲
Junk science and unavailable data at the European Heart Journal
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 years ago
discuss
366.
▲
Which User?
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 years ago
discuss
367.
▲
I don’t think this study on discriminatory attitudes is useful
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 years ago
discuss
368.
▲
Is there any heuristic we might use to identify wholly inappropriate stats
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 years ago
discuss
369.
▲
Krueger Uber $100k Update
(statmodeling.stat.columbia.edu)
2 points
blopeur
4 years ago
discuss
370.
▲
“Unsupervised learning” gets a bad rap
(statmodeling.stat.columbia.edu)
2 points
RafelMri
4 years ago
discuss
371.
▲
Historical journal records reveal a surge of methodological distortions
(statmodeling.stat.columbia.edu)
2 points
nojito
4 years ago
discuss
372.
▲
I was looking through the wrong end of the telescope
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 years ago
discuss
373.
▲
“Would Democratic Socialism Be Better?”
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 years ago
discuss
374.
▲
The problem with (some) science: How much is it a problem with process?
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 years ago
discuss
375.
▲
How do things work at top econ journals, exactly?
(statmodeling.stat.columbia.edu)
2 points
luu
4 years ago
discuss
376.
▲
A Bayesian framework for interpreting findings from impact evaluations
(statmodeling.stat.columbia.edu)
2 points
Tomte
4 years ago
discuss
377.
▲
How to Get Confident with Statistics
(statmodeling.stat.columbia.edu)
2 points
RafelMri
4 years ago
discuss
378.
▲
People whose job it is to do just one thing aren’t always good at that one thing
(statmodeling.stat.columbia.edu)
2 points
syntaxfree
4 years ago
discuss
379.
▲
SBC: A new R package for simulation-based calibration of Bayesian models
(statmodeling.stat.columbia.edu)
2 points
luu
4 years ago
discuss
380.
▲
Forking Paths and Gerrymandering
(statmodeling.stat.columbia.edu)
2 points
hn-0001
4 years ago
discuss
381.
▲
How things work at top econ journals: Gelman
(statmodeling.stat.columbia.edu)
2 points
srvmshr
4 years ago
discuss
382.
▲
Problems with a meta-analysis of “nudging” in PNAS
(statmodeling.stat.columbia.edu)
2 points
HuShifang
4 years ago
discuss
383.
▲
Objectively Worse but Practically Better
(statmodeling.stat.columbia.edu)
2 points
dxbydt
4 years ago
discuss
384.
▲
Controversy re: “Facial recognition technology can expose political orientation“
(statmodeling.stat.columbia.edu)
2 points
danso
5 years ago
discuss
385.
▲
Thoughts on “ASA on Statistical Significance and Replicability”
(statmodeling.stat.columbia.edu)
2 points
nabla9
5 years ago
discuss
386.
▲
Doubting the IHME claims about excess deaths by country
(statmodeling.stat.columbia.edu)
2 points
nabla9
5 years ago
discuss
387.
▲
Statistical fallacies as they arise in political science [pdf]
(statmodeling.stat.columbia.edu)
2 points
ReDeiPirati
5 years ago
discuss
388.
▲
Shades of Gray: A Research Story [2013]
(statmodeling.stat.columbia.edu)
2 points
shrikant
5 years ago
discuss
389.
▲
The “statistical” portion of the Texas election lawsuit
(statmodeling.stat.columbia.edu)
2 points
the_decider
5 years ago
discuss
390.
▲
Calibration problem in tails of our election forecast
(statmodeling.stat.columbia.edu)
2 points
luu
6 years ago
discuss
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