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- W2615785563 abstract "The problem of estimating the missing mass or total probability of unseen elements in a sequence of $n$ random samples is considered under the squared error loss function. The worst-case risk of the popular Good-Turing estimator is shown to be between $0.6080/n$ and $0.6179/n$. The minimax risk is shown to be lower bounded by $0.25/n$. This appears to be the first such published result on minimax risk for estimation of missing mass, which has several practical and theoretical applications." @default.
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- W2615785563 date "2017-05-14" @default.
- W2615785563 modified "2023-09-27" @default.
- W2615785563 title "Minimax Risk for Missing Mass Estimation" @default.
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