Tag Archives: Andrew Gelman

Political Forecasting: Justin Wolfers vs. Nate Silver

- Andrew Gelman nailed it: In summary, “momentum” can exist, but the places where you’ll see it is in races where current public opinion is out of step with best predictions. The mere information that a race has a 5-point … Continue reading

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Andrew Gelman on forecasting and statistical models

Andrew Gelman visits Google’s Mountain View headquarters: The 2008 presidential election and state polls:

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Bayesian Statistics — Scholarpedia Edition

Bayesian Statistics — Scholarpedia Edition Recommended by Him:

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RE: Andrew Gelman versus Robin Hanson

Andrew Gelman is the most wonderful forecasting expert on Earth. He is great. He is a giant. I like a lot of what he has been retorting to Robin Hanson. However, Andrew Gelman didn’t answer the Robin Hanson challenge, that … Continue reading

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Robin Hanson to Andrew Gelman: You are a smart prof, but my forecasting methods are better —which means, overall, that I am smarter than you.

Robin Hanson: Since I’ve granted that my story is contrary to what people usually say and assume, saying “I assume” on funding just isn’t much of a contrary argument.  “My impression” on students isn’t much better. Your funding patrons may … Continue reading

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Robin Hanson is a web community super star.

Andrew Gelman: I’ll write something fuller on my own blog, but I have to admit I envy Robin the lively and thoughtful participation he gets here. Robin is certainly doing something right to be generating this sort of discussion every … Continue reading

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Andrew Gelman makes more sense than Robin Hanson.

Andrew Gelman: I would go with the commonsensical view that academia is primarily an institution for teaching and research. I think of the credentialing as a byproduct. Sounds logical.

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Andrew Gelman teaches a valuable lesson to Robin Hanson: Quit bragging about your high IQ, man.

“there’s more to life –even to academic life– than being smart and insightful.” Excellent point.

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Institutional Decision Analysis

Institutional Decision Analysis – a concept by Andrew Gelman The term “decision analysis” has multiple meanings in Bayesian statistics. When we use the term here, we are not talking about problems of parameter estimation, squared error loss, etc. Rather, we … Continue reading

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Prof Andrew Gelman on “predicting” and “forecasting”

Andrew Gelman: I suspect the words have different meanings in different contexts.  In statistics, “prediction” is often used even when the result has already happened:  that is, if you have a model, y = f(x) + error, then f(x) is … Continue reading

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