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361.

Statistical Experiments and Science Experiments

statmodeling.stat.columbia.edu

4 years ago

2 points

362.

Bayes: Radical, Liberal, or Conservative? (2007)

statmodeling.stat.columbia.edu

4 years ago

2 points

363.

The Discount Cost Paradox?

statmodeling.stat.columbia.edu

4 years ago

2 points

364.

How can something be clear and unambiguous and still take decades to resolve

statmodeling.stat.columbia.edu

4 years ago

2 points

365.

Hey It’s Time for Another Greatest Seminar Speaker

statmodeling.stat.columbia.edu

4 years ago

2 points

366.

From 0 to 100K in 10 years: nurturing open-source community [pdf]

statmodeling.stat.columbia.edu

4 years ago

2 points

367.

(Now that faculty aren’t coming into the office) Will universities recover?

statmodeling.stat.columbia.edu

4 years ago

2 points

368.

Bayesian inference for discrete parameters and for continuous parameters

statmodeling.stat.columbia.edu

4 years ago

2 points

369.

This Time, don’t blame the news media

statmodeling.stat.columbia.edu

4 years ago

2 points

370.

Junk science and unavailable data at the European Heart Journal

statmodeling.stat.columbia.edu

4 years ago

2 points

371.

statmodeling.stat.columbia.edu

4 years ago

2 points

372.

I don’t think this study on discriminatory attitudes is useful

statmodeling.stat.columbia.edu

4 years ago

2 points

373.

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

statmodeling.stat.columbia.edu

4 years ago

2 points

374.

Krueger Uber $100k Update

statmodeling.stat.columbia.edu

4 years ago

2 points

375.

“Unsupervised learning” gets a bad rap

statmodeling.stat.columbia.edu

4 years ago

2 points

376.

Historical journal records reveal a surge of methodological distortions

statmodeling.stat.columbia.edu

4 years ago

2 points

377.

I was looking through the wrong end of the telescope

statmodeling.stat.columbia.edu

4 years ago

2 points

378.

“Would Democratic Socialism Be Better?”

statmodeling.stat.columbia.edu

4 years ago

2 points

379.

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

statmodeling.stat.columbia.edu

4 years ago

2 points

380.

How do things work at top econ journals, exactly?

statmodeling.stat.columbia.edu

4 years ago

2 points

381.

A Bayesian framework for interpreting findings from impact evaluations

statmodeling.stat.columbia.edu

4 years ago

2 points

382.

How to Get Confident with Statistics

statmodeling.stat.columbia.edu

4 years ago

2 points

383.

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

384.

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

statmodeling.stat.columbia.edu

4 years ago

2 points

385.

Forking Paths and Gerrymandering

statmodeling.stat.columbia.edu

4 years ago

2 points

386.

How things work at top econ journals: Gelman

statmodeling.stat.columbia.edu

4 years ago

2 points

387.

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

statmodeling.stat.columbia.edu

4 years ago

2 points

388.

Objectively Worse but Practically Better

statmodeling.stat.columbia.edu

5 years ago

2 points

389.

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

statmodeling.stat.columbia.edu

5 years ago

2 points

390.

Thoughts on “ASA on Statistical Significance and Replicability”

statmodeling.stat.columbia.edu

5 years ago

2 points