Results 41 to 50 of about 336,848 (164)

Regularly varying random fields

Stochastic Processes and their Applications, 2020
We study the extremes of multivariate regularly varying random fields. The crucial tools in our study are the tail field and the spectral field, notions that extend the tail and spectral processes of Basrak and Segers (2009). The spatial context requires multiple notions of extremal index, and the tail and spectral fields are applied to clarify these ...
Wu, Lifan, Samorodnitsky, Gennady
openaire   +3 more sources

Determining of the Joint Roughness Coefficient (JRC) of Rock Discontinuities Based on the Theory of Random Fields

Geosciences, 2019
This work intends to embed the estimation of the joint roughness coefficient (JRC) in the framework of random fields. The random field method is a probabilistic approach which involves modeling of the spatial variability of the pertinent physical ...
Elias Gravanis, Lysandros Pantelidis
doaj   +1 more source

Seismic mitigation effect for large-space underground structures considering spatially varying soil properties

Journal of Civil Engineering and Management
The seismic response of the large-space underground structure (LSUS) is significantly influenced by the physical properties of the surrounding soil media, while the soil owns a strong spatial variability.
Zhiming He, Qingjun Chen
doaj   +1 more source

Two-dimensional Kalman filter approach to airborne vector gravimetry

Journal of Geodetic Science, 2019
The paper presents a new approach to the airborne vector gravimetry problem. The idea of the approach is to take into account spatial correlation of the gravity field to improve observability of horizontal components of the gravity disturbance vector ...
Vyazmin V.S., Bolotin Yu.V.
doaj   +1 more source

Markov Property and Operads

Entropy, 2004
We define heat kernel measure on punctured spheres. The random field which is got by this procedure is not Gaussian. We define a stochastic line bundle on the loop space, such that the punctured sphere corresponds to a generalized parallel transport on ...
Rémi Léandre
doaj   +1 more source

Hidden Markov Random Fields

The Annals of Applied Probability, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kunsch, Hans, Geman, Stuart, Kehagias, Athanasios   +2 more
openaire   +3 more sources

Analysis of Random Fields Using CompRandFld

Journal of Statistical Software, 2015
Statistical analysis based on random fields has become a widely used approach in order to better understand real processes in many fields such as engineering, environmental sciences, etc.
Simone A. Padoan, Moreno Bevilacqua
doaj   +1 more source

Corrigendum: The behavior of partially coherent twisted space-time beams in atmospheric turbulence

Frontiers in Physics, 2023
Milo Hyde
doaj   +1 more source

Learning loosely connected Markov random fields

Stochastic Systems, 2014
We consider the structure learning problem for graphical models that we call loosely connected Markov random fields, in which the number of short paths between any pair of nodes is small, and present a new conditional independence test based algorithm ...
Rui Wu, R. Srikant, Jian Ni
doaj   +1 more source

ActivePPI: quantifying protein-protein interaction network activity with Markov random fields. [PDF]

Bioinformatics, 2023
Wang C, Xu S, Sun D, Liu ZP.
europepmc   +1 more source