Statistical Modeling (Andrew Gelman) statmodeling.stat.columbia.edu

For which cases does AI help with classification (medical diagnosis example)?

statmodeling.stat.columbia.edu·37w

“I guess my question is how bad must it be before retraction becomes appropriate?”

statmodeling.stat.columbia.edu·38w

Survey Statistics: answers from the BLS

statmodeling.stat.columbia.edu·38w

The Edlin factor strikes again: “The crown jewel of the Nudge literature finds its effect cut by 76%”

statmodeling.stat.columbia.edu·38w·Hacker News

Steering a middle ground between two extreme takes on the role of statistics in the development of language models

statmodeling.stat.columbia.edu·38w

Two cool math lectures by Yuval Peres

statmodeling.stat.columbia.edu·38w

Pivoting to new funding sources in light of new government regulations

statmodeling.stat.columbia.edu·38w

When does it make sense to talk about LLMs having beliefs?

statmodeling.stat.columbia.edu·38w

What’s on your university’s home page?

statmodeling.stat.columbia.edu·38w

Feynman corner: We have access to a lot more examples than we used to.

statmodeling.stat.columbia.edu·38w

Autism junk science: The only part of this story that surprises me is that the outside critic “found it hard to believe just how flawed it turned out to be”

statmodeling.stat.columbia.edu·39w

Survey Statistics: 2nd helpings of the 2nd flavor of calibration

statmodeling.stat.columbia.edu·39w

Hey! Here’s what to do when you have two or more surveys on the same population! (Combining survey data obtained using different modes of sampling)

statmodeling.stat.columbia.edu·39w

The oldest famous person

statmodeling.stat.columbia.edu·39w

The rise and fall of Bayesian statistics

statmodeling.stat.columbia.edu·39w

Art Buchwald would be spinning in his grave

statmodeling.stat.columbia.edu·39w

White House / NYC Mayoral Race strategy: Life imitates blog

statmodeling.stat.columbia.edu·39w

They’re looking for businesses that want to use their Bayesian inference software, I think?

statmodeling.stat.columbia.edu·39w

Real examples are good (mile run example)

statmodeling.stat.columbia.edu·39w

“Beyond Averages: Measuring Consistency and Volatility in NBA Player and Team Offense”

statmodeling.stat.columbia.edu·40w

Log in to enable infinite scrolling