Results 21 to 30 of about 28,600 (293)
Modelling count data with overdispersion and spatial effects [PDF]
, 2005 In this paper we consider regression models for count data allowing for overdispersion in a Bayesian framework. Besides the inclusion of covariates, spatial effects are incorporated and modelled using a proper Gaussian conditional autoregressive prior ...
Gschlößl, Susanne, Czado, Claudia
core +1 more source
Simulation of cluster point processes without edge effects [PDF]
, 2002 The usual direct method of simulation for cluster processes requires the generation of the parent point process over a region larger than the actual observation window, since we have to allow for all possible parents giving rise to observed daughter ...
Brix, Anders, Kendall, W. S.
core +1 more source
Downlink Analysis in Unmanned Aerial Vehicle (UAV) Assisted Cellular Networks With Clustered Users
IEEE Access, 2018 The use of unmanned aerial vehicles (UAVs) operating as aerial base stations (BSs) has emerged as a promising solution especially in scenarios requiring rapid deployments (e.g., in the cases of crowded hotspots, sporting events, emergencies, and natural ...
Esma Turgut, M. Cenk Gursoy
doaj +1 more source
Prediction in a Poisson cluster model [PDF]
, 2010 We consider a Poisson cluster model, motivated by insurance applications. At each claim arrival time, modeled by the point of a homogeneous Poisson process, we start a cluster process which represents the number or amount of payments triggered by the ...
Muneya Matsui, Thomas Mikosch
core +1 more source
The cylindrical $K$-function and Poisson line cluster point processes [PDF]
Biometrika, 2016 Analyzing point patterns with linear structures has recently been of interest in e.g. neuroscience and geography. To detect anisotropy in such cases, we introduce a functional summary statistic, called the cylindrical $K$-function, since it is a directional $K$-function whose structuring element is a cylinder.
Møller, Jesper +2 more
openaire +5 more sources
Spatial modelling of claim frequency and claim size in insurance [PDF]
, 2005 In this paper models for claim frequency and claim size in non-life insurance are considered. Both covariates and spatial random e ects are included allowing the modelling of a spatial dependency pattern.
Gschlößl, Susanne, Czado, Claudia
core +1 more source
BMC Veterinary Research, 2020 Background Foot and mouth disease (FMD) is a highly infectious and contagious febrile vesicular disease of cloven-hoofed livestock with high socio-economic consequences globally.
Orapun Arjkumpa +6 more
doaj +1 more source
A Simple Spatial Method for Identifying Point Clusters by Neighbourhood Relationships
Ecologies, 2021 Point events can be distributed regularly, randomly, or in clusters. A cluster of points is defined by the distance from which any point included in a cluster is farther from any other point outside the cluster. Many solutions and methods are possible to
Neftalí Sillero
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Small and large scale behavior of moments of Poisson cluster processes [PDF]
ESAIM: Probability and Statistics, 2017 Poisson cluster processes are special point processes that find use in modeling Internet traffic, neural spike trains, computer failure times and other real-life phenomena. The focus of this work is on the various moments and cumulants of Poisson cluster processes, and specifically on their behavior at small and large scales. Under suitable assumptions
Antunes, Nelson +3 more
openaire +4 more sources
MODÉLISATION PRÉVISIONNELLE PAR HAWKES PROCESS DES CRISES ECONOMIQUES
Revue Economie, Gestion et Société, 2020 The object of this article is to work on the modeling of recurrent shocks likely to affect an economy in the period of economic crises, we take into consideration the endogenous aspect of such shocks by basing our analysis on a model inspired by the ...
Habib ELFATHAOUI
doaj +5 more sources