Results 11 to 20 of about 942,754 (267)
On the Dispersion Measures of Complex Uncertain Random Variables
IEEE Access, 2020 In probability theory, variance is a device to measure dispersion of random variable from its mean. In order to explain complex uncertain random variable,variance and pseudo-variance are provided.
Guangquan Cheng +2 more
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Kernel Distance Measures for Time Series, Random Fields and Other Structured Data
Frontiers in Applied Mathematics and Statistics, 2021 This paper introduces kdiff, a novel kernel-based measure for estimating distances between instances of time series, random fields and other forms of structured data.
Srinjoy Das +2 more
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ON MEAN DENSITIES OF INHOMOGENEOUS GEOMETRIC PROCESSES ARISING IN MATERIAL SCIENCE AND MEDICINE
Image Analysis and Stereology, 2011 The scope of this paper is to offer an overview of the main results obtained by the authors in recent literature in connection with the introduction of a Delta formalism, á la Dirac-Schwartz, for random generalized functions (distributions) associated ...
Vincenzo Capasso, Elena Villa
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Effective randomness for continuous measures [PDF]
Journal of the American Mathematical Society, 2021 We investigate which infinite binary sequences (reals) are effectively random with respect to some continuous (i.e., non-atomic) probability measure. We prove that for every n n
Reimann, Jan, Slaman, Theodore A.
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Random Measurable Selections [PDF]
, 2014 We make the first steps towards showing a general “randomness for free” theorem for stochastic automata. The goal of such theorems is to replace randomized schedulers by averages of pure schedulers. Here, we explore the case of measurable multifunctions and their measurable selections.
Jean Goubault-Larrecq, Roberto Segala
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Invariant measures and random attractors of stochastic delay differential equations in Hilbert space
Electronic Journal of Qualitative Theory of Differential Equations, 2022 This paper is devoted to a general stochastic delay differential equation with infinite-dimensional diffusions in a Hilbert space. We not only investigate the existence of invariant measures with either Wiener process or Lévy jump process, but also ...
Shangzhi Li, Shangjiang Guo
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Random Forest Variable Importance Measures for Spatial Dynamics: Case Studies from Urban Demography
ISPRS International Journal of Geo-Information, 2023 Population growth in urban centres and the intensification of segregation phenomena associated with international mobility require improved urban planning and decision-making.
Marina Georgati +2 more
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On the Cadlaguity of Random Measures
The Annals of Probability, 1984 Let \(X=\{X(B):B\in {\mathcal B}^ k\}\) be a stochastically continuous, finitely additive but not necessarily positive random measure, on the Borel \(\sigma\)-algebra \({\mathcal B}^ k\) in \(I_ k=[0,1]^ k\), with independent increments: \(X(B_ 1),...,X(B_ n)\) are independent for all choices of n and disjoint \(B_ 1,...,B_ n\). In addition, let \(\nu\)
Adler, Robert J., Feigin, Paul D.
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Decomposition of random walk measures on the one-dimensional torus
Discrete Analysis, 2020 Decomposition of random walk measures on the one-dimensional torus, Discrete Analysis 2020:3, 24 pp. Let $\mathbb T$ be the one-dimensional torus $\mathbb R/\mathbb Z$.
Tom Gilat
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Frontiers in Cell and Developmental Biology, 2021 Muscle atrophy is a side effect of several terrestrial diseases which also affects astronauts severely in space missions due to the reduced gravity in spaceflight.
Vidya Manian +2 more
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