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20082026
most citedA toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)

155 citations · 296 across the 33 of their papers we have counts for

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5 papers · 1 filter

stat.AP2021★ 1 cited

Practical strategies for GEV-based regression models for extremes

Daniela Castro-Camilo, Raphaël Huser, Håvard Rue

The generalised extreme value (GEV) distribution is a three parameter family that describes the asymptotic behaviour of properly renormalised maxima of a sequence of independent an…

stat.AP2017

Modeling water supply networks and gastrointestinal disorder symptoms with CAR models

Håvard Wahl Kongsgård, Geir-Arne Fuglstad, Håvard Rue +2

Background: The direct modeling of water networks is not a common practice in modern epidemiology. While space often serves as a proxy, it can be problematic. There are multiple wa…

stat.AP2017

Unemployment estimation: Spatial point referenced methods and models

Soraia Pereira, Kamil Feridun Turkman, Luis Correia +1

Portuguese Labor force survey, from 4th quarter of 2014 onwards, started geo-referencing the sampling units, namely the dwellings in which the surveys are carried. This opens new p…

stat.AP2013★ 155 cited

A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)

Janine B. Illian, Sigrunn H. Sørbye, Håvard Rue

This paper develops methodology that provides a toolbox for routinely fitting complex models to realistic spatial point pattern data. We consider models that are based on log-Gauss…

stat.AP2008★ 48 cited

Unsupervised empirical Bayesian multiple testing with external covariates

Egil Ferkingstad, Arnoldo Frigessi, Håvard Rue +2

In an empirical Bayesian setting, we provide a new multiple testing method, useful when an additional covariate is available, that influences the probability of each null hypothesi…