Listar MAT_Articles por autoría "b3d7c927-452b-48fa-8205-aca08fb6e4a9"
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A New Bayesian Inference Methodology for Modeling Geochemical Elements in Soil with Covariates. Characterization of Lithium in South Iberian Range (Spain)
Meseguer Costa, Sergio; Juan, Pablo; Vicente, Ana Belen; Díaz Ávalos, Carlos Global Journals Inc. (2016)When the scientific need to model geochemical elements in soil, is using geostatistical methodologies, for instance krigings, but we can use a new possibility with Bayesian Inference. The ... -
Bayesian and network models with covariate effects for predicting heating energy demand
Juan, Pablo; Braulio-Gonzalo, Marta; Díaz Ávalos, Carlos; Bovea, María D; Serra, Laura Elsevier (2022)The spatial effect is an element presented in many geostatistical works and it should be incorporated into studies regarding the heating energy demand of residential building stocks. The most common approaches have been ... -
Incorporation of Circular Aspects into Product Design and Labelling: Consumer Preferences
Bovea, María D; Ibáñez-Forés, valeria; Pérez-Belis, Victoria; Juan, Pablo; Braulio-Gonzalo, Marta; Díaz Ávalos, Carlos MDPI (2018)The transition to a circular economy requires a fundamental change in products and the way they meet consumer demands. In this context, the aim of this article is to analyse the level of importance that consumers attach ... -
Modeling fire size of wildfires in Castellon (Spain), using spatiotemporal marked point processes
Díaz Ávalos, Carlos; Juan, Pablo; Serra, Laura Elsevier (2016-12-01)The extent of fires, their periodicity and their impact on terrestrial communities have been a major con- cern in the last century. Wildfires play an important role in shaping landscapes and as a source of CO 2 and particulate ... -
Variability of PM10 in industrialized-urban areas. New coefficients to establish significant differences between sampling points
Vicente, Ana Belen; Juan, Pablo; Meseguer Costa, Sergio; Díaz Ávalos, Carlos; Serra, Laura Elsevier (2018-03)One of the main problems that arise in the assessment of air quality in an area is to estimate the number of representative sampling points of each microenvironment within it. We present a new model that reduces the ...