Results 11 to 20 of about 57,267 (303)

Fast simulation of Gaussian random fields [PDF]

open access: yesMonte Carlo Methods and Applications, 2011
15 pages, 8 figures. Typos corrected in Algorithm 3, Remark (4), Algorithm 4, Remark (5), and Algorithm 5, Remark (5)
Annika Lang
exaly   +6 more sources

Multiple points of Gaussian random fields [PDF]

open access: yesElectronic Journal of Probability, 2021
This paper is concerned with the existence of multiple points of Gaussian random fields. Under the framework of Dalang et al. (2017), we prove that, for a wide class of Gaussian random fields, multiple points do not exist in critical dimensions. The result is applicable to fractional Brownian sheets and the solutions of systems of stochastic heat and ...
Dalang, Robert C.   +3 more
openaire   +3 more sources

PREDICTION INTERVALS FOR INTEGRALS OF GAUSSIAN RANDOM FIELDS. [PDF]

open access: yesComput Stat Data Anal, 2015
Methodology is proposed for the construction of prediction intervals for integrals of Gaussian random fields over bounded regions (called block averages in the geostatistical literature) based on observations at a finite set of sampling locations. Two bootstrap calibration algorithms are proposed, termed indirect and direct, aimed at improving upon ...
De Oliveira V, Kone B.
europepmc   +5 more sources

Redundancy in Gaussian random fields [PDF]

open access: yesESAIM: Probability and Statistics, 2020
In this paper, we introduce a notion of spatial redundancy in Gaussian random fields. This study is motivated by applications of thea contrariomethod in image processing. We define similarity functions on local windows in random fields over discrete or continuous domains.
de Bortoli, Valentin   +3 more
openaire   +4 more sources

Polar Functions for Anisotropic Gaussian Random Fields [PDF]

open access: yesAbstract and Applied Analysis, 2014
Let X be an (N, d)-anisotropic Gaussian random field. Under some general conditions on X, we establish a relationship between a class of continuous functions satisfying the Lipschitz condition and a class of polar functions of X. We prove upper and lower
Zhenlong Chen
doaj   +2 more sources

Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation [PDF]

open access: yesScientific Reports
Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent concerning trend. Chronic wounds are difficult and costly to treat, and have become a serious burden on health care systems worldwide.
Bill Cassidy   +6 more
doaj   +2 more sources

Optimal Transport between Gaussian random fields [PDF]

open access: yes2021 29th Mediterranean Conference on Control and Automation (MED), 2021
We consider the optimal transport problem between zero mean Gaussian stationary random fields both in the aperiodic and periodic case. We show that the solution corresponds to a weighted Hellinger distance between the multivariate and multidimensional power spectral densities of the random fields.
Mattia Zorzi, Zorzi M.
openaire   +3 more sources

Random Fields in Physics, Biology and Data Science

open access: yesFrontiers 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

Optimization of Gaussian Random Fields [PDF]

open access: yesSIAM Journal on Scientific Computing, 2015
Many engineering systems are subject to spatially distributed uncertainty, i.e. uncertainty that can be modeled as a random field. Altering the mean or covariance of this uncertainty will in general change the statistical distribution of the system outputs.
Dow, Eric, Wang, Qiqi
openaire   +3 more sources

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