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On the estimation of variance parameters in non-standard generalised linear mixed models: Application to penalised smoothing 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Durban, M.; Lee, D.-J.Autoridad BCAM; Eilers, P.H.C. (2018-01-24)
We present a novel method for the estimation of variance parameters in generalised linear mixed models. The method has its roots in Harville (1977)'s work, but it is able to deal with models that have a precision matrix ...
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Correcting for spatial heterogeneity in plant breeding experiments with P-splines 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Boer, M.P.; van Eeuwijk, F.A.; Eilers, P.H.C. (2017-10-27)
An important aim of the analysis of agricultural field experiments is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these corrections turn out to be complicated, since ...
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Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model 

Velazco, J.G.; Rodríguez-Álvarez, M.X.Autoridad BCAM; Boer, M.P.; Jordan, D.R.; Eilers, P.H.C.; Malosetti, M.; van Eeuwijk, F. (2017-04-03)
Adjustment for spatial trends in plant breeding field trials is essential for efficient evaluation and selection of genotypes. Current mixed model methods of spatial analysis are based on a multi-step modelling process ...
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Spatio-temporal adaptive penalized splines with application to Neuroscience 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Durban, M.; Lee, D.-J.Autoridad BCAM; Eilers, P.H.C.; Gonzalez, F (2016-12-30)
Data analysed here derive from experiments conducted to study neurons' activity in the visual cortex of behaving monkeys. We consider a spatio-temporal adaptive penalized spline (P-spline) approach for modelling the firing ...
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Fast estimation of multidimensional adaptive P-spline models 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Durban, M.; Lee, D.-J.Autoridad BCAM; Eilers, P.H.C. (2016-10-21)
A fast and stable algorithm for estimating multidimensional adaptive P-spline models is presented. We call it as Separation of Overlapping Penalties (SOP) as it is an extension of the Separation of Anisotropic Penalties ...
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Spatial Models for Field Trials 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Boer, M.P.; Eeuwijk, F.; Eilers, P.H.C. (2016-09-01)
An important aim of the analysis of agricultural field trials is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these corrections turn out to be complicated, since there ...
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Penalized composite link models for aggregated spatial count data: a mixed model approach 

Ayma, D.; Durban, M.; Lee, D.-J.Autoridad BCAM; Eilers, P.H.C. (2016-01-01)
Mortality data provide valuable information for the study of the spatial distri- bution of mortality risk, in disciplines such as spatial epidemiology and public health. However, they are frequently available in an aggregated ...
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Fast algorithm for smoothing parameter selection in multidimensional P-splines 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Lee, D.-J.Autoridad BCAM; Kneib, T.; Durban, M.; Eilers, P.H.C. (2015-12-31)
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalized spline generalized model with anisotropic penalty is presented. This new proposal is based on the mixed model representation ...
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Penalized composite link mixed models for two-dimensional count data 

Ayma, D.; Durban, M.; Lee, D.-J.Autoridad BCAM; Eilers, P.H.C. (2015-05)
Mortality data provide valuable information for the study of the spatial distribution of mortality risk, in disciplines such as spatial epidemiology, medical demography, and public health. However, they are often available ...
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Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm 

Rodríguez-Álvarez, M.X.Autoridad BCAM; Lee, D.-J.Autoridad BCAM; Kneib, T.; Durban, M.; Eilers, P.H.C. (2014-12-31)
A new computational algorithm for estimating the smoothing parameters of a multidimensional penalized spline generalized linear model with anisotropic penalty is presented. This new proposal is based on the mixed model ...

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Eilers, P.H.C. (10)
Rodríguez-Álvarez, M.X. (8)Durban, M. (7)Lee, D.-J. (7)Boer, M.P. (3)Ayma, D. (2)Kneib, T. (2)Eeuwijk, F. (1)Gonzalez, F (1)Jordan, D.R. (1)... másSubjectAdaptive Smoothing (2)Mixed Models (2)Mortality rates (2)P-splines (2)Penalized composite link models (2)Disease mapping (1)Effective dimension (1)Field trials (1)Heritability (1)Linear mixed model (1)... másFecha2018 (1)2017 (2)2016 (4)2015 (2)2014 (1)

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