Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Erick de la Barra"'
Publikováno v:
Entropy, Vol 25, Iss 7, p 990 (2023)
Data-centric inverse problems are a process of inferring physical attributes from indirect measurements. Full-waveform inversion (FWI) is a non-linear inverse problem that attempts to obtain a quantitative physical model by comparing the wave equatio
Externí odkaz:
https://doaj.org/article/70958b12a0594733a6cac35dcae945af
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0275416 (2022)
The estimation of physical parameters from data analyses is a crucial process for the description and modeling of many complex systems. Based on Rényi α-Gaussian distribution and patched Green's function (PGF) techniques, we propose a robust framew
Externí odkaz:
https://doaj.org/article/26d2567dfb6e4ff89a4457ef9d3bcf81
Publikováno v:
Entropy, Vol 24, Iss 5, p 695 (2022)
Mathai’s pathway model is playing an increasingly prominent role in statistical distributions. As a generalization of a great variety of distributions, the pathway model allows the studying of several non-linear dynamics of complex systems. Here, w
Externí odkaz:
https://doaj.org/article/226863f94bab4ec4ba9f6a3cb5ac1d15
Akademický článek
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Publikováno v:
Physica A: Statistical Mechanics and its Applications. 617:128690
Publikováno v:
The European Physical Journal B. 95
Autor:
Pedro Vega-Jorquera, Erick de la Barra
Publikováno v:
The European Physical Journal B. 94
Based on the superstatistical formalism, we propose a new probability distribution. By means of a transformation of the q-exponential, we construct the q-Pareto distribution by Beck formalism. Some properties of this distribution are studied which sh