Results 11 to 20 of about 105 (105)
A semicircle law and decorrelation phenomena for iterated Kolmogorov loops
Abstract We consider a standard one‐dimensional Brownian motion on the time interval [0,1] conditioned to have vanishing iterated time integrals up to order N. We show that the resulting processes can be expressed explicitly in terms of shifted Legendre polynomials and the original Brownian motion, and we use these representations to prove that the ...
Karen Habermann
wiley +1 more source
Precise lim sup behavior of probabilities of large deviations for sums of i.i.d. random variables
Let {X, Xn; n ≥ 1} be a sequence of real‐valued i.i.d. random variables and let Sn=∑i=1nXi, n ≥ 1. In this paper, we study the probabilities of large deviations of the form P(Sn > tn1/p), P(Sn < −tn1/p), and P(|Sn| > tn1/p), where t > 0 and 0 < p < 2.
Deli Li, Andrew Rosalsky
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On multiple‐particle continuous‐time random walks
Scaling limits of continuous‐time random walks are used in physics to model anomalous diffusion in which particles spread at a different rate than the classical Brownian motion. In this paper, we characterize the scaling limit of the average of multiple particles, independently moving as a continuous‐time random walk.
Peter Becker-Kern, Hans-Peter Scheffler
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Cauchy approximation for sums of independent random variables
We use Stein′s method to find a bound for Cauchy approximation. The random variables which are considered need to be independent.
K. Neammanee
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A zero‐inflated occupancy distribution: exact results and Poisson convergence
We introduce the generalized zero‐inflated allocation scheme of placing n labeled balls into N labeled cells. We study the asymptotic behavior of the number of empty cells when (n, N) belongs to the “right” and “left” domain of attraction. An application to the estimation of characteristics of agreement among a set of raters which independently ...
Nikolai Kolev, Ljuben Mutafchiev
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A nonuniform bound for the approximation of Poisson binomial by Poisson distribution
It is well known that Poisson binomial distribution can be approximated by Poisson distribution. In this paper, we give a nonuniform bound of this approximation by using Stein‐Chen method.
K. Neammanee
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A survey of limit laws for bootstrapped sums
Concentrating mainly on independent and identically distributed (i.i.d.) real‐valued parent sequences, we give an overview of first‐order limit theorems available for bootstrapped sample sums for Efron′s bootstrap. As a light unifying theme, we expose by elementary means the relationship between corresponding conditional and unconditional bootstrap ...
Sándor Csörgő, Andrew Rosalsky
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Almost sure central limit theorems for strongly mixing and associated random variables
We prove an almost sure central limit theorem (ASCLT) for strongly mixing sequence of random variables with a slightly slow mixing rate α(n) = O((loglogn)−1−δ). We also show that ASCLT holds for an associated sequence of random variables without a stationarity assumption.
Khurelbaatar Gonchigdanzan
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Our goal is to state and prove the almost sure central limit theorem for maxima (Mn) of X1, X2, ..., Xn, n ∈ ℕ, where (Xi) forms a stochastic process of identically distributed r.v.’s of the continuous type, such that, for any fixed n, the family of r.v.’
Dudziński Marcin, Furmańczyk Konrad
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A weak convergence approach to hybrid LQG problems with infinite control weights
This work is concerned with a class of hybrid LQG (linear quadratic Gaussian) regulator problems modulated by continuous‐time Markov chains. In contrast to the traditional LQG models, the systems have both continuous dynamics and discrete events. In lieu of a model with constant coefficients, these coefficients vary with time and exhibit piecewise ...
G. George Yin, Jiongmin Yong
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