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Statistical Modeling (Andrew Gelman)
statmodeling.stat.columbia.edu
Test
Schedule
statmodeling.stat.columbia.edu
·
51w
If only
Arxiv
required researchers to sign at the top rather than the bottom of the page,
none
of this would’ve happened.
statmodeling.stat.columbia.edu
·
51w
Graduation
Days: A tale of two
campuses
statmodeling.stat.columbia.edu
·
51w
Why were
schools
so slow to return to in-person
instruction
?
statmodeling.stat.columbia.edu
·
51w
An alternative
Monty
Hall problem. As with the
usual
Monty
Hall problem, just set it up as a probability tree and it all works out
statmodeling.stat.columbia.edu
·
51w
·
Hacker News
Struggles with
surveying
nonvoters
and young voters
statmodeling.stat.columbia.edu
·
51w
Too many polls: “As news consumers, we’re like
gluttons
stuffing
our faces with 5 potato chips at a time, just grabbing them out of the bag.”
statmodeling.stat.columbia.edu
·
51w
Using
Stan
to do
sequential
Bayesian updating
statmodeling.stat.columbia.edu
·
51w
The Lives They’re Living and this new
biography
of
Elaine
May
statmodeling.stat.columbia.edu
·
52w
Chaining
Bayesian inference with priors
constructed
from posterior draws
statmodeling.stat.columbia.edu
·
52w
The
fractal
nature of scientific
revolutions
statmodeling.stat.columbia.edu
·
52w
Bad advice all over the internet
statmodeling.stat.columbia.edu
·
52w
Plotting
truth vs.
predicted
value
statmodeling.stat.columbia.edu
·
52w
·
Hacker News
A study is
conducted
on two groups. When does it make sense to report two separate estimates, and when does it make sense to just report the
pooled
estimate?
statmodeling.stat.columbia.edu
·
52w
Back before he was a vaccine
denier
, law professor Richard Epstein was a
cliche-spinning
dispenser of misinformation
statmodeling.stat.columbia.edu
·
52w
Don’t Hold Out On Me: Some
thoughts
on
out-of-sample
prediction
statmodeling.stat.columbia.edu
·
52w
Misattribution
(when someone claims you said something that you’ve never said)–it’s kind of like
plagiarism
in reverse.
statmodeling.stat.columbia.edu
·
53w
Evaluation blind
spots
and
eliciting
moving targets
statmodeling.stat.columbia.edu
·
53w
“On
Sociological
Exploitation: Why the Guinea
Pig
Sometimes Bites”
statmodeling.stat.columbia.edu
·
53w
Charles
Margossian
and Lawrence Saul win
AISTATS
’25 Best Paper
statmodeling.stat.columbia.edu
·
53w
« Page 28
·
Page 30 »
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