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- W4301805369 abstract "Suppose that $X_1,X_2,ldots$ are a stream of independent, identically distributed Poisson random variables with mean $mu$. This work presents a new estimate $mu_k$ for $mu$ with the property that the distribution of the relative error in the estimate ($(hat mu_k/mu) - 1$) is known, and does not depend on $mu$ in any way. This enables the construction of simple exact confidence intervals for the estimate, as well as a means of obtaining fast approximation algorithms for high dimensional integration using TPA. The new estimate requires a random number of Poisson draws, and so is best suited to Monte Carlo applications. As an example of such an application, the method is applied to obtain an exact confidence interval for the normalizing constant of the Ising model." @default.
- W4301805369 created "2022-10-05" @default.
- W4301805369 creator A5042395525 @default.
- W4301805369 date "2016-05-30" @default.
- W4301805369 modified "2023-10-17" @default.
- W4301805369 title "An estimator for Poisson means whose relative error distribution is known" @default.
- W4301805369 doi "https://doi.org/10.48550/arxiv.1605.09445" @default.
- W4301805369 hasPublicationYear "2016" @default.
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