Results 31 to 40 of about 1,210 (131)

Level sets estimation and Vorob'ev expectation of random compact sets [PDF]

open access: yes, 2011
The issue of a "mean shape" of a random set $X$ often arises, in particular in image analysis and pattern detection. There is no canonical definition but one possible approach is the so-called Vorob'ev expectation $\E_V(X)$, which is closely linked to ...
Baddeley   +38 more
core   +3 more sources

On the rate of convergence of bootstrapped means in a Banach space

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 25, Issue 10, Page 629-635, 2001., 2001
We establish the complete convergence for arrays of Banach space valued random elements. This result is applied to bootstrapped means of random elements to obtain their strong consistency and is derived in the spirit of Baum‐Katz/Hsu‐Robbins/Spitzer type convergence.
S. Ejaz Ahmed   +2 more
wiley   +1 more source

Complete convergence for arrays of ratios of order statistics

open access: yesOpen Mathematics, 2019
Let {Xn,k, 1 ≤ k ≤ mn, n ≥ 1} be an array of independent random variables from the Pareto distribution. Let Xn(k) be the kth largest order statistic from the nth row of the array and set Rn,in,jn = Xn(jn)/Xn(in) where jn < in. The aim of this paper is to
Miao Yu   +3 more
doaj   +1 more source

Complete convergence for Sung’s type weighted sums of END random variables

open access: yes, 2014
In this paper, the author studies the complete convergence results for Sung’s type weighted sums of sequences of END random variables and obtains some new results. These results extend and improve the corresponding theorems of Sung (Discrete Dyn.
Guohui Zhang
semanticscholar   +1 more source

On complete convergence for Lp‐mixingales

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 24, Issue 11, Page 737-747, 2000., 2000
We provide in this paper sufficient conditions for the complete convergence for the partial sums and the random selected partial sums of B‐valued Lp‐mixingales.
Yijun Hu
wiley   +1 more source

One sided strong laws for random variables with infinite mean

open access: yesOpen Mathematics, 2017
This paper establishes conditions that secure the almost sure upper and lower bounds for a particular normalized weighted sum of independent nonnegative random variables.
Adler André
doaj   +1 more source

On conditions for the strong law of large numbers in general Banach spaces

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 24, Issue 1, Page 29-42, 2000., 2000
We give Chung‐Teicher type conditions for the SLLN in general Banach spaces under the assumption that the weak law of large numbers holds. An example is provided showing that these conditions can hold when some earlier known conditions fail.
Anna Kuczmaszewska, Dominik Szynal
wiley   +1 more source

Asymptotic direction for random walks in random environments [PDF]

open access: yes, 2007
In this paper we study the property of asymptotic direction for random walks in random i.i.d. environments (RWRE). We prove that if the set of directions where the walk is transient is non empty and open, the walk admits an asymptotic direction. The main
Simenhaus, François
core   +4 more sources

Some strong laws of large numbers for weighted sums of asymptotically almost negatively associated random variables

open access: yes, 2013
In the paper, we study the strong law of large numbers for general weighted sums of asymptotically almost negatively associated random variables (AANA, in short) with non-identical distribution.
Xiaofeng Tang
semanticscholar   +1 more source

Complete convergence for sums of arrays of random elements

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 23, Issue 11, Page 789-794, 2000., 2000
Let {Xni} be an array of rowwise independent B‐valued random elements and {an} constants such that 0 < an↑∞. Under some moment conditions for the array, it is shown that ∑i=1nXni/an converges to 0 completely if and only if ∑i=1nXni/an converges to 0 in probability.
Soo Hak Sung
wiley   +1 more source

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