A Family of Non-Gaussian Martingales with Gaussian Marginals [PDF]
We construct a family of martingales with Gaussian marginal distributions. We give a weak construction as Markov, inhomogeneous in time processes, and compute their infinitesimal generators. We give the predictable quadratic variation and show that the paths are not continuous.
Hamza, Kais, Klebaner, Fima C.
openaire +3 more sources
On the Dispersion of Gases Discharged to the Chimney of a Thermal Power Plant
This paper presents a theoretical study on the dispersion of gaseous pollutants from a natural gas thermal power plant in the event of a malfunction. Using the Gaussian model, the dispersion of nitrogen oxides generated by such a thermal power plant was ...
Adrian LEOPA
doaj +1 more source
Research Paper: A Numerical Generation of Gaussian and Non-Gaussian Isotropic/Anisotropic Rough Surfaces [PDF]
In the present study, the computer simulation has been used to generate the (1+1) and (2+1) surfaces with two types of correlation function Gaussian and correlation function Exponential forms.
Zhaleh Ebrahiminejad
doaj +1 more source
Effect of the stochastic weibull parameters on the reliability of the dialysis machine [PDF]
Dialysis machines operate in an uncertain environment with several sources of disturbances; therefore, it is necessary to take account of the uncertainties during all their life phases.
Sofiene Fenina +2 more
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A New Radial Basis Function Approach Based on Hermite Expansion with Respect to the Shape Parameter
Owing to its high accuracy, the radial basis function (RBF) is gaining popularity in function interpolation and for solving partial differential equations (PDEs).
Saleh Abobakur Bawazeer +2 more
doaj +1 more source
Gaussian Tribonacci R-Graceful Labeling of Some Tree Related Graphs
Let r be any natural number. An injective function , where is the Gaussian Tribonacci number in the Gaussian Tribonacci sequence is said to be Gaussian Tribonacci r-graceful labeling if the induced edge labeling such that is bijective.
K Sunitha, M Sheriba
doaj +1 more source
Bosonic Gaussian channel and Gaussian witness entanglement criterion of continuous variables
We use quantum entanglement witnesses derived from Gaussian operators to study the separable criteria of continuous variable states. For bipartite system, we transform the validity of a Gaussian witness to a bosonic Gaussian channel problem.
Xiao-yu Chen +3 more
doaj +1 more source
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities [PDF]
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian process is a useful way to place a prior distribution on this intensity.
Murray, Iain +6 more
core +1 more source
Primordial non-Gaussianity and non-Gaussian covariance
In the pursuit of primordial non-Gaussianities, we hope to access smaller scales across larger comoving volumes. At low redshift, the search for primordial non-Gaussianities is hindered by gravitational collapse, to which we often associate a scale $k_{\rm NL}$.
Thomas Flöss +2 more
openaire +3 more sources
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source

