Results 1 to 10 of about 55,506 (117)
Random Fields in Physics, Biology and Data Science
Frontiers in Physics, 2021 A random field is the representation of the joint probability distribution for a set of random variables. Markov fields, in particular, have a long standing tradition as the theoretical foundation of many applications in statistical physics and ...
Enrique Hernández-Lemus +1 more
doaj +1 more source
MCMC generation of cosmological fields far beyond Gaussianity
The Open Journal of Astrophysics, 2021 Structure formation in our Universe creates non-Gaussian random fields that will soon be observed over almost the entire sky by the Euclid satellite, the Vera-Rubin observatory, and the Square Kilometre Array.
Joey R. Braspenning, Elena Sellentin
doaj +1 more source
An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field
IEEE Access, 2022 This article presents a new image denoising algorithm that uses Gaussian Symmetric Markov random fields based on maximum a posteriori estimation. First, an image denoising model based on Gaussian Symmetric Markov random fields is built, and the image ...
Fusong Xiong +3 more
doaj +1 more source
Вісник Київського національного університету імені Тараса Шевченка. Серія Геологія, 2023 In the article, universal methods of statistical modeling (Monte Carlo methods) of geophysical data using the Gaussian correlation function have been developed, which make it possible to solve the problems of generating adequate realizations of random ...
Zoia Vyzhva +2 more
doaj +1 more source
Fast estimation of the look-elsewhere effect using Gaussian random fields
European Physical Journal C: Particles and Fields, 2023 We discuss the use of Gaussian random fields to estimate the look-elsewhere effect correction. We show that Gaussian random fields can be used to model the null-hypothesis significance maps from a large set of statistical problems commonly encountered in
Juehang Qin, Rafael F. Lang
doaj +1 more source
Bounds for the Tail Distributions of Suprema of Sub-Gaussian Type Random Fields
Austrian Journal of Statistics, 2023 The paper presents bounds for the distributions of suprema for particular classes of ϕ-sub-Gaussian random fields. Results stated depend on representations of bounds for increments of the fields in different metrics. Several examples of applications are
Olha Hopkalo +2 more
doaj +1 more source
Comparisons of spatial prediction methods for stationary Gaussian random fields
Lietuvos Matematikos Rinkinys, 1998 There is not abstract.
Kęstutis Dučinskas +1 more
doaj +3 more sources
Calendar Spread Exchange Options Pricing with Gaussian Random Fields
Risks, 2018 Most of the models leading to an analytical expression for option prices are based on the assumption that underlying asset returns evolve according to a Brownian motion with drift.
Donatien Hainaut
doaj +1 more source
Horizontal small-scale variability of water vapor in the atmosphere: implications for intercomparison of data from different measuring systems [PDF]
Atmospheric Measurement Techniques, 2022 Water vapor concentration structures in the atmosphere are well approximated horizontally by Gaussian random fields at small scales (≲6 km). These Gaussian random fields have a spatial correlation in accordance with a structure function with a two-thirds
X. Calbet +5 more
doaj +1 more source
On Circulant Embedding for Gaussian Random Fields in R
Journal of Statistical Software, 2013 The high-dimensionality typically associated with discretized approximations to Gaussian random fields is a considerable hinderance to computationally efficient methods for their simulation.
Tilman M. Davies, David Bryant
doaj +1 more source