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Iterated logarithm inequalities.

TLDR
A sequence of independent, identically distributed random variables with mean 0, variance 1, and moment generating function ϕ(t) = E(etz) finite in some neighborhood of t= 0 is introduced.
Abstract
1. Introduction—Let x,x 1, x 2 … be a sequence of independent, identically distributed random variables with mean 0, variance 1, and moment generating function ϕ(t) = E(etz) finite in some neighborhood of t= 0, and put S n = x 1, + … + x n, \(\bar x\) n = S n/n. For any sequence of positive constants a n, n ≥ 1, let P m = P(|\(\bar x\) n| ≥ a n for some n ≥ m).

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Proceedings Article

lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits

TL;DR: It is proved that the UCB procedure for identifying the arm with the largest mean in a multi-armed bandit game in the fixed confidence setting using a small number of total samples is optimal up to constants and also shows through simulations that it provides superior performance with respect to the state-of-the-art.
Journal ArticleDOI

Statistical Methods Related to the Law of the Iterated Logarithm

TL;DR: In this article, a method for obtaining probability inequalities and related limit theorems concerning the behavior of the entire sequence of random variables with a specified joint probability distribution is given. But the method is not suitable for the case of the random variables in the case where the distribution of the variables is fixed.
Journal ArticleDOI

Boundary Crossing Probabilities for the Wiener Process and Sample Sums

TL;DR: In this paper, it was shown that the probability that S n is the nth partial sum of any sequence x 1, x 2, x 3 of independent and identically distributed (i.i.d.) random variables with mean 0 and variance 1.
Journal ArticleDOI

Time-uniform, nonparametric, nonasymptotic confidence sequences

TL;DR: In this article, the authors develop confidence sequences whose widths go to zero, with nonasymptotic coverage guarantees under nonparametric conditions, including sub-Gaussian and Bernstein conditions, and matrix martingales.
Posted Content

Time-uniform Chernoff bounds via nonnegative supermartingales

TL;DR: In this article, a class of exponential bounds for the probability that a martingale sequence crosses a time-dependent linear threshold is presented. But the authors focus on the distribution of the time-uniform concentration of scalar, matrix and Banach-space-valued martingales.
References
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Journal ArticleDOI

Asymptotic Behavior of Expected Sample Size in Certain One Sided Tests

TL;DR: In this paper, the Koopman-Darmois family of generalized probability density functions on the measure space has been studied and the main result of Theorem 1 is proved by constructing bounded length confidence intervals.
Journal ArticleDOI

On some statistical problems requiring purely sequential sampling schemes

TL;DR: In this paper, it was shown that a purely sequential sampling scheme is required for a confidence interval of a parameter p which excludes a neighborhood of a given value/~0, provided such confidence interval exists, and a simple proof and a generalization of a result due to Farrell [2] was given.