Search results for "Additive models"

showing 2 items of 2 documents

Predictive distribution models of European hake in the south-central Mediterranean Sea

2017

The effective management and conservation of fishery resources requires knowledge of their spatial distribution and notably of their critical life history stages. Predictive modelling of the European hake (Merluccius merluccius L., 1758) distribution was developed in the south-central Mediterranean Sea by means of historical fisheries-independent databases available in the region. The study area included the international waters of the south-central Mediterranean Sea and the territorial waters of Italy, Malta, Tunisia and Libya. Distribution maps of predicted population abundance index, and probabilistic occurrence of recruits and large adults were obtained by means of generalized additive …

0106 biological sciencesMediterranean climateGeneralized additive modelAquatic ScienceSpatial distribution010603 evolutionary biology01 natural sciencesGeneralized additive modelsSeafloor geophysical featureMediterranean seaHakeSeafloor geophysical featuresMerluccius merlucciusSpecies distribution modelling14. Life underwaterLarge adults habitatSettore MAT/07 - Fisica Matematicabiology010604 marine biology & hydrobiologyGeneralized additive modelMerluccius merlucciusbiology.organism_classificationRecruits habitatEnvironmental niche modellingFisheryStrait of SicilyGeographyMerluccius merlucciuPredictive modelling
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Modeling temporal treatment effects with zero inflated semi-parametric regression models: The case of local development policies in France

2017

International audience; A semi-parametric approach is proposed to estimate the variation along time of the effects of two distinct public policies that were devoted to boost rural development in France over a similar period of time. At a micro data level, it is often observed that the dependent variable, such as local employment, does not vary along time, so that we face a kind of zero inflated phenomenon that cannot be dealt with a continuous response model. We introduce a conditional mixture model which combines a mass at zero and a continuous response. The suggested zero inflated semi-parametric statistical approach relies on the flexibility and modularity of additive models with the abi…

FOS: Computer and information sciencesEconomics and EconometricsLocal Developmentsemiparametric regressiondifferencePublic policyselection01 natural sciencesStatistics - Applicationslocal developmentpanel data010104 statistics & probabilityEconomica0502 economics and businessEconometricsApplications (stat.AP)0101 mathematics[MATH]Mathematics [math]Additive modelsemi-parametric regressionenterprise zonespropensity scoreJEL Classification: C14 C23 C54 O18050205 econometrics Mathematicsinferencesmoothing parametertemporal effects05 social sciencesSH1_2SH1_6multiple treatmentspolicy evaluation[SHS.ECO]Humanities and Social Sciences/Economics and FinanceZero (linguistics)Rural developmentVariation (linguistics)asymptoticsmixture of distributionsSemi parametric regressionAdditive modelsPanel dataAdditive models; local development; mixture of distributions; multiple treatments; panel data; policy evaluation; semiparametric regression; temporal effects
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