BIANCHINI, ILARIA
BIANCHINI, ILARIA
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
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Risultati 1 - 6 di 6 (tempo di esecuzione: 0.016 secondi).
Applying functional principal components to structural topology optimization
2017 Alaimo, G; Auricchio, F; Bianchini, I; Lanzarone, E
A blocked Gibbs sampler for NGG-mixture models via a priori truncation
2016 R. Argiento; I. Bianchini;A. Guglielmi
Posterior sampling from epsilon-approximation of normalized completely random measure mixtures
2016 R. Argiento; I. Bianchini;A. Guglielmi
A new finite approximation for the NGG mixture model: An application to density estimation
2015 I. Bianchini
Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components
2015 Bianchini, I; Argiento, R; Auricchio, F; Lanzarone, E
A Bayesian nonparametric model for density and cluster estimation: the epsilon-NGG process mixture
2014 Argiento, R; Bianchini, I; Guglielmi, A
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Applying functional principal components to structural topology optimization | 1-gen-2017 | Alaimo, G; Auricchio, F; Bianchini, I; Lanzarone, E | |
| A blocked Gibbs sampler for NGG-mixture models via a priori truncation | 1-gen-2016 | R. Argiento; I. Bianchini;A. Guglielmi | |
| Posterior sampling from epsilon-approximation of normalized completely random measure mixtures | 1-gen-2016 | R. Argiento; I. Bianchini;A. Guglielmi | |
| A new finite approximation for the NGG mixture model: An application to density estimation | 1-gen-2015 | I. Bianchini | |
| Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components | 1-gen-2015 | Bianchini, I; Argiento, R; Auricchio, F; Lanzarone, E | |
| A Bayesian nonparametric model for density and cluster estimation: the epsilon-NGG process mixture | 1-gen-2014 | Argiento, R; Bianchini, I; Guglielmi, A |