Bayesian modeling of spatio-temporal point patterns in residential property sales

Lucia Paci, Alan E. Gelfand, MarÍa AsuncÍon Beamonte, Pilar Gargallo, Manuel Salvador

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

It is of important economic interest to understand the market for sales of residential properties. Customary analysis focuses on explaining selling price using property and neighborhood characteristics, so-called hedonic models. Here, our interest is in understanding the locations of the sales. The set of such locations forms a space-time point pattern. With interest in comparing different types of property sales, we obtain marked space-time point patterns according to the size of property. We focus on sales in the city of Zaragoza in Spain during a 10 year period. We employ nonhomogeneous Poisson process models as well as log Gaussian Cox process models, fitted within a Bayesian ramework, with investigation of model adequacy and model comparison.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the 48th scientific meeting of the Italian Statistical Society
Pagine1-6
Numero di pagine6
Stato di pubblicazionePubblicato - 2016
Evento48 scientific meeting of the Italian Statistical Society - Salerno
Durata: 8 giu 201610 giu 2016

Convegno

Convegno48 scientific meeting of the Italian Statistical Society
CittàSalerno
Periodo8/6/1610/6/16

Keywords

  • MCMC
  • log-Gaussian Cox process
  • marked point pattern
  • nearest neighbor Gaussian process
  • nonhomogeneous Poisson process

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