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pro vyhledávání: '"Cocchi, Daniela"'
Entropy is a measure of heterogeneity widely used in applied sciences, often when data are collected over space. Recently, a number of approaches has been proposed to include spatial information in entropy. The aim of entropy is to synthesize the obs
Externí odkaz:
http://arxiv.org/abs/1911.03685
Lack of independence in the residuals from linear regression motivates the use of random effect models in many applied fields. We start from the one-way anova model and extend it to a general class of one-factor Bayesian mixed models, discussing seve
Externí odkaz:
http://arxiv.org/abs/1902.08828
Autor:
Altieri, Linda1 (AUTHOR) daniela.cocchi@unibo.it, Cocchi, Daniela1 (AUTHOR), Roli, Giulia1 (AUTHOR)
Publikováno v:
Entropy. Dec2023, Vol. 25 Issue 12, p1634. 25p.
The lack of efficiency in urban diffusion is a debated issue, important for biologists, urban specialists, planners and statisticians, both in developed and new developing countries. Many approaches have been considered to measure urban sprawl, i.e.
Externí odkaz:
http://arxiv.org/abs/1805.04274
This article illustrates how to measure the heterogeneity of spatial data presenting a finite number of categories via computation of spatial entropy. The R package SpatEntropy contains functions for the computation of entropy and spatial entropy mea
Externí odkaz:
http://arxiv.org/abs/1804.05521
The concept of entropy, firstly introduced in information theory, rapidly became popular in many applied sciences via Shannon's formula to measure the degree of heterogeneity among observations. A rather recent research field aims at accounting for s
Externí odkaz:
http://arxiv.org/abs/1703.06001
Akademický článek
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Autor:
Altieri, Linda1 (AUTHOR) linda.altieri@unibo.it, Cocchi, Daniela1 (AUTHOR)
Publikováno v:
International Statistical Review. Dec2021, Vol. 89 Issue 3, p532-549. 18p.
Autor:
Cocchi, Daniela, Mouchart, Michel
Publikováno v:
Journal of the Royal Statistical Society. Series B (Methodological), 1996 Jan 01. 58(1), 293-300.
Externí odkaz:
https://www.jstor.org/stable/2346180
Publikováno v:
In Spatial Statistics November 2015 14 Part B:197-207