Sfoglia per Autore
Joint Prediction of Demand and Care Duration in Home Care Patients: a Bayesian Approach
2014-01-01 I., Nawajah; R., Argiento; Guglielmi, Alessandra; Lanzarone, Ettore
A Bayesian nonparametric model for density and cluster estimation: the epsilon-NGG process mixture.
2014-01-01 R., Argiento; Bianchini, Ilaria; Guglielmi, Alessandra
Modelling the association between clusters of SNPs and disease responses
2015-01-01 Argiento, Raffaele; Guglielmi, Alessandra; Hsiao, Chuhsing Kate; Ruggeri, Fabrizio; Wang, Charlotte
A blocked Gibbs sampler for NGG-mixture models via a priori truncation.
2016-01-01 Argiento, Raffaele; Bianchini, Ilaria; Guglielmi, Alessandra
Posterior sampling from epsilon-approximation of normalized completely random measure mixtures
2016-01-01 Argiento, Raffaele; Bianchini, Ilaria; Guglielmi, Alessandra
Bayesian autoregressive semiparametric models for gap times of recurrent events
2016-01-01 Paulon, Giorgio; Iorio, Maria De; Guglielmi, Alessandra
Role of ocular perfusion pressure in glaucoma: the issue of multicollinearity in statistical regression models
2016-01-01 Guglielmi, Alessandra; Guidoboni, Giovanna; Harris, Alon
A Bayesian models for describing and predicting the stochastic demand of emergency calls
2017-01-01 Nicoletta, Vittorio; Lanzarone, E.; Guglielmi, A.; Belanger, Valérie; Ruiz, A.
Bayesian joint modeling of the health profile and demand of home care patients
2017-01-01 Argiento, Raffaele; Guglielmi, Alessandra; Lazarone, Ettore; Nawajah, Inad
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction
2018-01-01 Guglielmi, Alessandra; Ieva, Francesca; Paganoni, ANNA MARIA; Quintana, Fernardo A.
Bayesian nonparametric covariate driven clustering
2018-01-01 Argiento, R.; Bianchini, I.; Guglielmi, A.; Lanzarone, E.
Bayesian autoregressive frailty models for inference in recurrent events.
2019-01-01 Tallarita, M.; De Iorio, M.; Guglielmi, A.; Malone-Lee, J.
Determinantal point process mixtures via spectral density approach
2019-01-01 Bianchini, I.; Guglielmi, A.; QUINTANA QUINTANA, FERNANDO ANDRES
Statistical methods in medicine: application to the study of glaucoma progression
2019-01-01 Guglielmi, A.; Guidoboni, G.; Harris, A.; Sartori, I.; Torriani, L.
Invited discussion on ``Latent nested nonparametric priors'' by Camerlenghi F., Dunson D. B., Lijoi A., Prunster I. and Rodriguez A., Bayesian Analysis
2019-01-01 Beraha, Mario; Guglielmi, Alessandra
Bayesian modeling for large spatio-temporal data: an application to mobile networks
2019-01-01 Cadonna, Annalisa; Cremaschi, A.; Guglielmi, A.
A Bayesian model for network flow data: an application to BikeMi trips
2019-01-01 Bissoli, G.; Principi, C.; Rinaldi, G. M.; Beraha, Mario; Guglielmi, A.
Joint modelling of recurrent events and survival: a Bayesian nonparametric approach
2020-01-01 Paulon, Giorgio; DE IORIO, Maria; Guglielmi, Alessandra; Ieva, Francesca
A Bayesian model to induce dependence between mixtures
2020-01-01 Beraha, M.; Pegoraro, M.; Peli, R.; Guglielmi, A.
Choosing the right tool for the job: a systematic analysis of general purpose MCMC software
2020-01-01 Beraha, M.; Gualtieri, G.; Villa, E.; Vitali, R.; Guglielmi, A.
Spatially dependent mixture models via the logistic multivariate CAR prior
2021-01-01 Beraha, Mario; Pegoraro, Matteo; Peli, Riccardo; Guglielmi, Alessandra
Bayesian spatio-temporal modelling and prediction of areal demands for ambulance services.
2021-01-01 Nicoletta, V.; Guglielmi, A.; Ruiz, A.; Belanger, V.; Lanzarone, E.
Anisotropic determinantal point processes and their application in Bayesian mixtures
2021-01-01 Ghilotti, L.; Beraha, M.; Guglielmi, A.
A transdimensional MCMC sampler for spatially dependent mixture models
2021-01-01 Guglielmi, A.; Beraha, M.; Gianella, M.; Pegoraro, M.; Peli, R.
Spatially dependent mixture models with a random number of components
2021-01-01 Gianella, M.; Beraha, M.; Guglielmi, A.
Clustering Species With Residual Covariance Matrix in Joint Species Distribution Models
2021-01-01 Bystrova, Daria; Poggiato, Giovanni; Bektas, Billur; Arbel, Julyan; Clark, James S.; Guglielmi, Alessandra; Thuiller, Wilfried
The semi-hierarchical Dirichlet process and its application to clustering homogeneous distributions
2021-01-01 Beraha, Mario; Guglielmi, Alessandra; Quintana, Fernando A.
MALIBOO: When Machine Learning meets Bayesian Optimization
2022-01-01 Guindani, B.; Ardagna, D.; Guglielmi, A.
Bayesian optimization with machine learning for big data applications in the cloud
2022-01-01 Guindani, B.; Ardagna, D.; Guglielmi, A.
Repulsive mixture models for high-dimensional data
2022-01-01 Ghilotti, L.; Beraha, M.; Guglielmi, A.
A Bayesian spatio–temporal model of PM10 pollutant in the Po Valley
2022-01-01 Gianella, M.; Guglielmi, A.; Lonati, G.
Focal electroretinogram and microperimetry testing of photoreceptor-retinal pigment epithelium function in intermediate age-related macular degeneration
2022-01-01 Messenio, Dario; Babbi, Alessandro; Guglielmi, Alessandra; Airaldi, Matteo
MCMC computations for Bayesian mixture models using repulsive point processes
2022-01-01 Beraha, Mario; Argiento, Raffaele; Møller, Jesper; Guglielmi, Alessandra
Bayesian modeling and clustering for spatio-temporal areal data: an application to Italian unemployment
2022-01-01 Mozden, A.; Cremaschi, A.; Cadonna, A.; Guglielmi, A.; Kastner, G.
Bayesian functional emulation of CO2 emissions on future climate change scenarios
2023-01-01 Aiello, Luca; Fontana, Matteo; Guglielmi, Alessandra
Bayesian nonparametric mixture modeling for temporal dynamics of gender stereotypes
2023-01-01 De Iorio, Maria; Favaro, Stefano; Guglielmi, Alessandra; Ye, Lifeng
Childhood obesity in Singapore: A Bayesian nonparametric approach
2023-01-01 Beraha, Mario; Guglielmi, Alessandra; Andres Quintana, Fernando; De Iorio, Maria; Gunnar Eriksson, Johan; Yap, Fabian
A Bayesian weather–driven spatio–temporal model for PM10 in Lombardy
2023-01-01 Frigeri, Michela; Guglielmi, Alessandra; Lonati, Giovanni
Gender inequalities at work in Southern Europe
2023-01-01 Ren, Yijun; Guglielmi, Alessandra; Maestripieri, LARA IVANA
Clustering blood donors via mixtures of product partition models with covariates
2024-01-01 Argiento, R.; Corradin, R.; Guglielmi, A.; Lanzarone, E.
Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems
2024-01-01 Guindani, Bruno; Ardagna, Danilo; Guglielmi, Alessandra; Rocco, Roberto; Palermo, Gianluca
Bayesian optimization for cloud resource management through machine learning
2024-01-01 Guindani, Bruno; Ardagna, Danilo; Guglielmi, Alessandra
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