Results 31 to 40 of about 41,458 (311)
One sided strong laws for random variables with infinite mean
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
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Equivalence between Step Selection Functions and Biased Correlated Random Walks for Statistical Inference on Animal Movement. [PDF]
Animal movement has a fundamental impact on population and community structure and dynamics. Biased correlated random walks (BCRW) and step selection functions (SSF) are commonly used to study movements.
Thierry Duchesne +2 more
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Public Policy Through the Lens of Necessity
Photo by Nick Fewings on Unsplash INTRODUCTION Necessity can drive people’s behavior to extremes, and at times, can provide an excuse for otherwise criminal, illegal actions that, under normal circumstances, would be morally wrong.
Anne Zimmerman
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Strong Laws of Large Numbers for 𝔹-Valued Random Fields
We extend to random fields case, the results of Woyczynski, who proved Brunk's type strong law of large numbers (SLLNs) for 𝔹-valued random vectors under geometric assumptions.
Zbigniew A. Lagodowski
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The aim of this work is to study generalizations of the notion of the mean. Kolmogorov proposed a generalization based on an improper integral with a decay rate for the tail probabilities.
John E. Gray, Andrew Vogt
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In order to describe human uncertainty more precisely, Baoding Liu established uncertainty theory. Thus far, uncertainty theory has been successfully applied to uncertain finance, uncertain programming, uncertain control, etc.
Ziyi Qu, Zhaojun Zong, F. Hu
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Global observables for RW: Law of large numbers [PDF]
We consider the sums TN = Nn=1N F(Sn) where Sn is a random walk on Zd and F : Zd → R is a global observable, that is, a bounded function which admits an average value when averaged over large cubes.
Lenci M., Dolgopyat D., Nandori P.
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A Note on the Strong Law of Large Numbers for Arrays of Rowwise ρ˜-Mixing Random Variables
Let {Xni,i≥1,n≥1} be an array of rowwise ρ˜-mixing random variables. Some strong law of large numbers for arrays of rowwise ρ˜-mixing random variables is studied under some simple and weak conditions.
Aiting Shen, Shuhe Hu
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Strong and Weak Convergence for Asymptotically Almost Negatively Associated Random Variables
The strong law of large numbers for sequences of asymptotically almost negatively associated (AANA, in short) random variables is obtained, which generalizes and improves the corresponding one of Bai and Cheng (2000) for independent and identically ...
Aiting Shen, Ranchao Wu
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Inhomogeneous Random Evolutions: Limit Theorems and Financial Applications
The paper is devoted to the inhomogeneous random evolutions (IHRE) and their applications in finance. We introduce and present some properties of IHRE. Then, we prove weak law of large numbers and central limit theorems for IHRE.
Nelson Vadori, Anatoliy Swishchuk
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