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Gonzalo García-Donato

Gonzalo García-Donato

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Archivo de la etiqueta: Computer models

Comparison of statistical and deterministic frameworks of uncertainty quantification

Posted on 11 de marzo de 2022 por GONZALO GARCIA-DONATO LAYRON
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A paper by M. Frenklach, A. Packard, G. García-Donato, R. Paulo and J. Sacks (2016). Final version appeared in SIAM/ASA Journal on Uncertainty Quantification, 4, 875-901. link

Publicado en Published papers | Etiquetado Calibration, Computer models | Deja un comentario

SAVE: An R package for the statistical analysis of computer models

Posted on 11 de marzo de 2022 por GONZALO GARCIA-DONATO LAYRON
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A paper by J. Palomo, R. Paulo and G. García-Donato (2015). Final version published in Journal of Statistical Software, 64, 1-23. link

Publicado en Published papers | Etiquetado Calibration, Computer models | Deja un comentario

Calibration of Computer Models with Multivariate Output

Posted on 15 de enero de 2012 por GONZALO GARCIA-DONATO LAYRON

A paper by R. Paulo, G. García-Donato and J. Palomo (2012). Final version published in: Computational Statistics and Data Analysis, 56, 3959-3974. Full text

Publicado en Published papers | Etiquetado Calibration, Computer models, Multivariate Output

Computer model validation with functional output

Posted on 29 de marzo de 2007 por GONZALO GARCIA-DONATO LAYRON
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A paper by M.J. Bayarri, J. Berger, J. Cafeo, G. García-Donato, F. Liu, J. Palomo, R. Parthasarathy, R. Paulo, R. Sacks and D. Walsh (2007). Final version published in: The annals of Statistics, 35, 1874-1906. Full text 

Publicado en Published papers | Etiquetado Calibration, Computer models, Functional output | Deja un comentario

Entradas recientes

  • The chronology of archaeological assemblages based on an automatic Bayesian procedure: Eastern Iberia as study case
  • Bayesian classification for dating archaeological sites via projectile points
  • Variable Selection in the presence of factors: a model selection perspective
  • A model selection approach for variable selection with censored data
  • Bayesian testing, variable selection and model averaging in linear models using R with BayesVarSel

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