Results 31 to 40 of about 609,633 (323)
On the LP-convergence for multidimensional arrays of random variables
For a d-dimensional array of random variables {Xn,n∈ℤ+d} such that {|Xn|p,n∈ℤ+d} is uniformly integrable for some ...
Le Van Thanh
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Local limit theorems and mod-phi convergence [PDF]
We prove local limit theorems for mod-{\phi} convergent sequences of random variables, {\phi} being a stable distribution. In particular, we give two new proofs of a local limit theorem in the framework of mod-phi convergence: one proof based on the ...
Borgo, Martina dal +2 more
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Some strong convergence properties for arrays of rowwise ANA random variables
In this paper, some complete convergence, complete moment convergence, and mean convergence results for arrays of rowwise asymptotically negatively associated (ANA) random variables are obtained. These theorems not only generalize some well-known ones to
Haiwu Huang +2 more
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Convergence of products of independent random variables to the log-Poisson law
There is not abstract.
Reda Lileikytė, Jonas Šiaulys
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Complete Moment Convergence for Negatively Dependent Sequences of Random Variables
We study the complete moment convergence for sequences of negatively dependent identically distributed random variables with EX=0, Eexp|X ...
Qunying Wu, Yuanying Jiang
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Complete Convergence for Weighted Sums of ρ∗-Mixing Random Variables
We obtain the complete convergence for weighted sums of ρ∗-mixing random variables. Our result extends the result of Peligrad and Gut (1999) on unweighted average to a weighted average under a mild condition of weights.
Soo Hak Sung
doaj +1 more source
Almost sure convergence for weighted sums of pairwise PQD random variables
We obtain Marcinkiewicz-Zygmund strong laws of large numbers for weighted sums of pairwise positively quadrant dependent random variables stochastically dominated by a random variable $X \in \mathscr{L}_{p}$, $1 \leqslant p < 2$.
da Silva, João Lita
core +1 more source
Convergence of densities of some functionals of Gaussian processes [PDF]
The aim of this paper is to establish the uniform convergence of the densities of a sequence of random variables, which are functionals of an underlying Gaussian process, to a normal density.
Hu, Yaozhong, Lu, Fei, Nualart, David
core
Convergence in distribution norms in the CLT for non identical distributed random variables
We study the convergence in distribution norms in the Central Limit Theorem for non identical distributed random variables that is $$ \varepsilon_{n}(f):={\mathbb{E}}\Big(f\Big(\frac 1{\sqrt n}\sum_{i=1}^{n}Z_{i}\Big)\Big)-{\mathbb{E}}\big(f(G)\big ...
Bally, Vlad +2 more
core +4 more sources
The Sequential Empirical Process of a Random Walk in Random Scenery [PDF]
A random walk in random scenery $(Y_n)_{n\in\mathbb{N}}$ is given by $Y_n=\xi_{S_n}$ for a random walk $(S_n)_{n\in\mathbb{N}}$ and iid random variables $(\xi_n)_{n\in\mathbb{Z}}$.
Wendler, Martin
core +1 more source

