Results 31 to 40 of about 336,848 (164)
Rock and Soil Mechanics, 2022 This paper presents the probabilistic analysis of landslides in spatially variable soil deposits, modeled by a stochastic framework which integrates the random field theory with generalized interpolation material point method (GIMP).
MA Guo-tao +3 more
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Optimal Nonlinear Prediction of Random Fields on Networks [PDF]
Discrete Mathematics & Theoretical Computer Science, 2003 It is increasingly common to encounter time-varying random fields on networks (metabolic networks, sensor arrays, distributed computing, etc.).This paper considers the problem of optimal, nonlinear prediction of these fields, showing from an information ...
Cosma Rohilla Shalizi
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Skew-Gaussian random fields [PDF]
Spatial Statistics, 2014 Skewness is often present in a wide range of spatial prediction problems, and modeling it in the spatial context remains a challenging problem. In this study a skew-Gaussian random field is considered. The skew-Gaussian random field is constructed by using the multivariate closed skew-normal distribution, which is a generalization of the traditional ...
Kjartan Rimstad, Henning Omre
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Inference Tools for Markov Random Fields on Lattices: The R Package mrf2d
Journal of Statistical Software, 2022 Markov random fields on two-dimensional lattices are behind many image analysis methodologies. mrf2d provides tools for statistical inference on a class of discrete stationary Markov random field models with pairwise interaction, which includes many of ...
Victor Freguglia, Nancy Lopes Garcia
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Information Geometry on Complexity and Stochastic Interaction
Entropy, 2015 Interdependencies of stochastically interacting units are usually quantified by the Kullback-Leibler divergence of a stationary joint probability distribution on the set of all configurations from the corresponding factorized distribution.
Nihat Ay
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Partially Observed Markov Random Fields Are Variable Neighborhood Random Fields [PDF]
Journal of Statistical Physics, 2012 The present paper has two goals. First to present a natural example of a new class of random fields which are the variable neighborhood random fields. The example we consider is a partially observed nearest neighbor binary Markov random field. The second goal is to establish sufficient conditions ensuring that the variable neighborhoods are almost ...
Cassandro, M. +2 more
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Solute transport in aquifers with evolving scale heterogeneity
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2015 Transport processes in groundwater systems with spatially heterogeneous properties often exhibit anomalous behavior. Using first-order approximations in velocity fluctuations we show that anomalous superdiffusive behavior may result if velocity fields ...
Suciu N. +6 more
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A Deep-Structured Fully Connected Random Field Model for Structured Inference
IEEE Access, 2015 There has been significant interest in the use of fully connected graphical models and deep-structured graphical models for the purpose of structured inference.
Alexander Wong +3 more
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CONDITIONAL SIMULATION OF SPATIOTEMPORAL RANDOM FIELDS OF ENVIRONMENTAL CONTAMINATION
TASK Quarterly, 2006 The paper considers a method of conditional simulation of spatiotemporal scalar random fields of certain environmental phenomena. The method can be used to predict field values at given space points at specified time, on the basis of field values at ...
ROBERT JANKOWSKI, HENRYK WALUKIEWICZ
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Geosciences, 2020 The present work is concerned with the effect of soil spatial variability on estimating the ultimate soil resistance of floating axially loaded piles from point measurements of soil properties along the pile. The ultimate limit state is considered.
Elias Gravanis +2 more
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