Results 11 to 20 of about 9,441 (247)
Almost Sure Convergence for the Maximum and the Sum of Nonstationary Guassian Sequences
Let (Xn, n≥1) be a standardized nonstationary Gaussian sequence. Let Mn= max{Xk,1≤k≤n} denote the partial maximum and Sn=∑k−1nXk for the partial sum with σn= (Var Sn)1/2.
Shengli Zhao, Zuoxiang Peng, Songlin Wu
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Estimating Smoothness and Optimal Bandwidth for Probability Density Functions
The properties of non-parametric kernel estimators for probability density function from two special classes are investigated. Each class is parametrized with distribution smoothness parameter. One of the classes was introduced by Rosenblatt, another one
Dimitris N. Politis +2 more
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Some remarks on the ergodic theorem for $U$-statistics
In this note, we investigate the convergence of a $U$-statistic of order two having stationary ergodic data. We will find sufficient conditions for the almost sure and $L^1$ convergence and present some counter-examples showing that the $U$-statistic ...
Dehling, Herold +2 more
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Almost sure convergence on chaoses
We present several new phenomena about almost sure convergence on homogeneous chaoses that include Gaussian Wiener chaos and homogeneous sums in independent random variables. Concretely, we establish the fact that almost sure convergence on a fixed finite sum of chaoses forces the almost sure convergence of each chaotic component.
Poly, Guillaume, Zheng, Guangqu
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Some Types of Convergence for Negatively Dependent Random Variables under Sublinear Expectations
In this paper, we research complete convergence and almost sure convergence under the sublinear expectations. As applications, we extend some complete and almost sure convergence theorems for weighted sums of negatively dependent random variables from ...
Ruixue Wang, Qunying Wu
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DAVENPORT SERIES AND ALMOST-SURE CONVERGENCE [PDF]
We consider Davenport-like series with coecients in l 2 and discuss L 2 -convergence as well as almost-everywhere convergence. We give an example where both fail to hold. We next improve former sucient conditions under which these convergences are true.
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Convergence rates of theta-method for NSDDEs under non-globally Lipschitz continuous coefficients [PDF]
This paper is concerned with strong convergence and almost sure convergence for neutral stochastic differential delay equations under non-globally Lipschitz continuous coefficients.
Li Tan, Chenggui Yuan
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Almost sure convergence of weighted sums [PDF]
Summary: Let \(\{X:X_n,\;n\geq 1\}\) be a sequence of identically distributed random variables and \(\{a_{i,n}:\;1\leq i\leq n\}\) be a triangular array of constants. In this short paper, we establish a general almost sure convergence theorem for the weighted sum \(S_n=\sum^n_{i=1} a_{i,n} X_i\). Our results improve those of \textit{S. H.
Miao, Yu, Xu, Shoufang
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Probabilistic norms and statistical convergence of random variables [PDF]
The paper extends certain stochastic convergence of sequences of Rk -valued random variables (namely, the convergence in probability, in Lp and almost surely) to the context of E-valued random variables.
Mohamad Rafi Segi Rahmat +1 more
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On the almost sure convergence of sums [PDF]
Two counterexamples, addressing questions raised in \cite{AD} and \cite{PZ}, are provided. Both counterexamples are related to chaoses. Let $F_n=Y_n+Z_n$. It may be that $F_n\overset{a.s.}\longrightarrow 0$, $F_n\overset{L_{2+ }}\longrightarrow 0$ and $E\bigl\{\sup_n\,\abs{F_n}^ \bigr\}0$ and $Y_n$ and $Z_n$ belong to chaoses of uniformly bounded ...
Pratelli Luca, Rigo Pietro
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