Cox Processes Associated with Spatial Copula Observed through Stratified Sampling

Cox processes, also called doubly stochastic Poisson processes, are used for describing phenomena for which overdispersion exists, as well as Poisson properties conditional on environmental effects. In this paper, we consider situations where spatial count data are not available for the whole study...

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Main Authors: Walguen Oscar, Jean Vaillant
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/5/524
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author Walguen Oscar
Jean Vaillant
author_facet Walguen Oscar
Jean Vaillant
author_sort Walguen Oscar
collection DOAJ
description Cox processes, also called doubly stochastic Poisson processes, are used for describing phenomena for which overdispersion exists, as well as Poisson properties conditional on environmental effects. In this paper, we consider situations where spatial count data are not available for the whole study area but only for sampling units within identified strata. Moreover, we introduce a model of spatial dependency for environmental effects based on a Gaussian copula and gamma-distributed margins. The strength of dependency between spatial effects is related with the distance between stratum centers. Sampling properties are presented taking into account the spatial random field of covariates. Likelihood and Bayesian inference approaches are proposed to estimate the effect parameters and the covariate link function parameters. These techniques are illustrated using Black Leaf Streak Disease (BLSD) data collected in Martinique island.
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spelling doaj.art-cfe4b60181e54507965837a6220096de2023-12-03T12:19:11ZengMDPI AGMathematics2227-73902021-03-019552410.3390/math9050524Cox Processes Associated with Spatial Copula Observed through Stratified SamplingWalguen Oscar0Jean Vaillant1Department of Mathematics and Computer Sciences, Université des Antilles, 97157 Pointe-à-Pitre, FranceDepartment of Mathematics and Computer Sciences, Université des Antilles, 97157 Pointe-à-Pitre, FranceCox processes, also called doubly stochastic Poisson processes, are used for describing phenomena for which overdispersion exists, as well as Poisson properties conditional on environmental effects. In this paper, we consider situations where spatial count data are not available for the whole study area but only for sampling units within identified strata. Moreover, we introduce a model of spatial dependency for environmental effects based on a Gaussian copula and gamma-distributed margins. The strength of dependency between spatial effects is related with the distance between stratum centers. Sampling properties are presented taking into account the spatial random field of covariates. Likelihood and Bayesian inference approaches are proposed to estimate the effect parameters and the covariate link function parameters. These techniques are illustrated using Black Leaf Streak Disease (BLSD) data collected in Martinique island.https://www.mdpi.com/2227-7390/9/5/524point processCox processcounting measureoverdispersionstratified samplingspatial copula
spellingShingle Walguen Oscar
Jean Vaillant
Cox Processes Associated with Spatial Copula Observed through Stratified Sampling
Mathematics
point process
Cox process
counting measure
overdispersion
stratified sampling
spatial copula
title Cox Processes Associated with Spatial Copula Observed through Stratified Sampling
title_full Cox Processes Associated with Spatial Copula Observed through Stratified Sampling
title_fullStr Cox Processes Associated with Spatial Copula Observed through Stratified Sampling
title_full_unstemmed Cox Processes Associated with Spatial Copula Observed through Stratified Sampling
title_short Cox Processes Associated with Spatial Copula Observed through Stratified Sampling
title_sort cox processes associated with spatial copula observed through stratified sampling
topic point process
Cox process
counting measure
overdispersion
stratified sampling
spatial copula
url https://www.mdpi.com/2227-7390/9/5/524
work_keys_str_mv AT walguenoscar coxprocessesassociatedwithspatialcopulaobservedthroughstratifiedsampling
AT jeanvaillant coxprocessesassociatedwithspatialcopulaobservedthroughstratifiedsampling