RT @ScottAdamsSays: You might want to adjust your presidential bets after seeing this. I think it’s over. https://t.co/1vcPYWcTnf | August 01, 2020 at 08:49PM
Finding a confidence interval for a Presidential betting market's implied probability?
I wrote a blog post recently about estimating the probability that a non-Trump Republican or a non-Clinton Democrat could win the election. I'd like to be able to put a confidence interval on that conditional probability - which means I need to approximate the distribution of the implied probability of the betting odds (or at least, a distribution of the betting odds directly). I'm imagining that each probability would be beta-distributed with some parameters, and then through monte carlo simulation I could estimate the conditional probability I'm actually interested in. Any thoughts? Perhaps some function of the trading volume and the spread?
Finding a confidence interval for a Presidential betting market's implied probability? (xpost /r/statistics)
I wrote a blog post recently about estimating the probability that a non-Trump Republican or a non-Clinton Democrat could win the election. I'd like to be able to put a confidence interval on that conditional probability - which means I need to approximate the distribution of the implied probability of the betting odds (or at least, a distribution of the betting odds directly). I'm imagining that each probability would be beta-distributed with some parameters, and then through monte carlo simulation I could estimate the conditional probability I'm actually interested in. Any thoughts? Perhaps some function of the trading volume and the spread?
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Odds of Donald Trump winning? Betting on the future U.S. president
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