Tag Archives: Oscars 2009

Conditional Likelihood Loss — Redux

- Nate Silver: 0.6032 – InTrade: 0.3699 – HubDub: 0.2237 HubDub beats both InTrade and Nate Silver.

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Conditional Likelihood Loss

- Nate Silver: 0.6032 – InTrade: 0.3699 InTrade looks much better than Nate Silver on the Oscars 2009. Waiting for the HubDub numbers, now. Nigel, are you napping or what?

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HubDub: “We nailed all 50 states; Panos did not.”

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“We nailed all 50 states.”

“One site that’s crowing today is Hubdub, which hit all six major awards.”

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Oscars 2009: Andrew Gelman weighs in.

Predictions that are too good to be true? – Statistical Modeling, Causal Inference, and Social Science

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“Guessing all the frontrunners correctly is something to brag ONLY if the reported confidences are high enough.”

“If they are not and you get them all correctly, then the markets have biases and are NOT accurate.”

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BetFair: The Oscars 2009? We won.

Mike Robb is quick to roar victory for the quasi-accurate BetFair predictions on the Oscars 2009. PS: I credit the accuracy to both the information aggregation mechanism (BetFair’s prediction exchange) and the BetFair traders.

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Nate Silver’s model vs. InTrade’s prediction markets

The information is below. However, before that, just a short note. – The real comparison to do would be to compare the prediction markets with a panel of very diverse Oscar predictors. The real question to ask is, “Was forecasting … Continue reading

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