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421.

Is there any heuristic we might use to identify wholly inappropriate stats

statmodeling.stat.columbia.edu

4 years ago

2 points

422.

Krueger Uber $100k Update

statmodeling.stat.columbia.edu

4 years ago

2 points

423.

“Unsupervised learning” gets a bad rap

statmodeling.stat.columbia.edu

4 years ago

2 points

424.

Historical journal records reveal a surge of methodological distortions

statmodeling.stat.columbia.edu

4 years ago

2 points

425.

I was looking through the wrong end of the telescope

statmodeling.stat.columbia.edu

4 years ago

2 points

426.

“Would Democratic Socialism Be Better?”

statmodeling.stat.columbia.edu

4 years ago

2 points

427.

The problem with (some) science: How much is it a problem with process?

statmodeling.stat.columbia.edu

4 years ago

2 points

428.

How do things work at top econ journals, exactly?

statmodeling.stat.columbia.edu

4 years ago

2 points

429.

A Bayesian framework for interpreting findings from impact evaluations

statmodeling.stat.columbia.edu

4 years ago

2 points

430.

How to Get Confident with Statistics

statmodeling.stat.columbia.edu

4 years ago

2 points

431.

People whose job it is to do just one thing aren’t always good at that one thing

statmodeling.stat.columbia.edu

4 years ago

2 points

432.

SBC: A new R package for simulation-based calibration of Bayesian models

statmodeling.stat.columbia.edu

4 years ago

2 points

433.

Colors in R [pdf]

stat.columbia.edu

4 years ago

trompe-le-monde

2 points

434.

Forking Paths and Gerrymandering

statmodeling.stat.columbia.edu

4 years ago

2 points

435.

How things work at top econ journals: Gelman

statmodeling.stat.columbia.edu

4 years ago

2 points

436.

Problems with a meta-analysis of “nudging” in PNAS

statmodeling.stat.columbia.edu

4 years ago

2 points

437.

Objectively Worse but Practically Better

statmodeling.stat.columbia.edu

5 years ago

2 points

438.

Controversy re: “Facial recognition technology can expose political orientation“

statmodeling.stat.columbia.edu

5 years ago

2 points

439.

Thoughts on “ASA on Statistical Significance and Replicability”

statmodeling.stat.columbia.edu

5 years ago

2 points

440.

Infovis and Statistical Graphics: Different Goals, Different Look [pdf]

stat.columbia.edu

15 years ago

2 points

441.

Doubting the IHME claims about excess deaths by country

statmodeling.stat.columbia.edu

5 years ago

2 points

442.

Statistical fallacies as they arise in political science [pdf]

statmodeling.stat.columbia.edu

5 years ago

2 points

443.

Shades of Gray: A Research Story [2013]

statmodeling.stat.columbia.edu

5 years ago

2 points

444.

The “statistical” portion of the Texas election lawsuit

statmodeling.stat.columbia.edu

6 years ago

2 points

445.

The Most Important Statistical Ideas of the Past 50 Years (Gelman&Vehtari, 2020) [pdf]

stat.columbia.edu

6 years ago

2 points

446.

Holes in Bayesian Statistics [pdf]

stat.columbia.edu

6 years ago

2 points

447.

Calibration problem in tails of our election forecast

statmodeling.stat.columbia.edu

6 years ago

2 points

448.

The “Scientist as Hero” Narrative

statmodeling.stat.columbia.edu

6 years ago

2 points

449.

What are the best scientific papers ever written?

statmodeling.stat.columbia.edu

6 years ago

2 points

450.

How much of rising Trump approval can be attributed to differential nonresponse?

statmodeling.stat.columbia.edu

6 years ago

2 points