Alessandra Guglielmi

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Raffaele ARGIENTOVerified email at unibg.it
Francesca IevaAssociate Professor, MOX - Department of Mathematics, Politecnico di MilanoVerified email at polimi.it
Fernando Andrés QuintanaPontificia Universidad Católica de ChileVerified email at uc.cl
Mario BerahaDepartment of Mathematics, Politecnico di MilanoVerified email at polimi.it
Ettore LANZARONEUniversity of Bergamo, ItalyVerified email at unibg.it
Antonio PievatoloSenior Researcher, CNR IMATIVerified email at cnr.it
Maria De IorioProfessor of Biostatistics, National University of SingaporeVerified email at nus.edu.sg
Andrea CremaschiSchool of Science and Technology, IE University, MadridVerified email at ie.edu
Inad NawajahMathematics and Statistics DepartmentVerified email at hebron.edu
James BergerProfessor of Statistics, Duke UniversityVerified email at stat.duke.edu
Jacopo SorianoGoogleVerified email at stat.duke.edu
Ilenia EpifaniPolitecnico di MilanoVerified email at polimi.it
Bruno GuindaniPolitecnico di MilanoVerified email at polimi.it
Peter MuellerProfessor Statistics, University of TexasVerified email at math.utexas.edu
Eugenio RegazziniDipartimento di Matematica, università di paviaVerified email at unipv.it
Stefano FavaroUniversity of Torino and Collegio Carlo AlbertoVerified email at unito.it
Giorgio PaulonStatistical Scientist, Berry ConsultantsVerified email at berryconsultants.net
Vittorio NicolettaHEC Montréal - Natural Resources CanadaVerified email at hec.ca
Matteo GianellaPolitecnico di MilanoVerified email at polimi.it
Matteo PegoraroDottorando, Politecnico di MilanoVerified email at polimi.it

Alessandra Guglielmi

Professor of Statistics, Department of Mathematics, Politecnico di Milano

Verified email at polimi.it

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Bayesian and conditional frequentist testing of a parametric model versus nonparametric alternatives JO Berger, A Guglielmi Journal of the American Statistical Association 96 (453), 174-184, 2001	186	2001
Theory and numerical analysis for exact distributions of functionals of a Dirichlet process E Regazzini, A Guglielmi, G Di Nunno The Annals of Statistics 30 (5), 1376-1411, 2002	82	2002
Bayesian density estimation and model selection using nonparametric hierarchical mixtures R Argiento, A Guglielmi, A Pievatolo Computational Statistics & Data Analysis 54 (4), 816-832, 2010	52	2010
A simple class of Bayesian nonparametric autoregression models MA Di Lucca, A Guglielmi, P Müller, FA Quintana Bayesian Analysis (Online) 8 (1), 63, 2013	50	2013
Methods for global prior robustness under generalized moment conditions B Betro, A Guglielmi Robust Bayesian Analysis, 273-293, 2000	40	2000
The semi-hierarchical Dirichlet process and its application to clustering homogeneous distributions M Beraha, A Guglielmi, FA Quintana Bayesian Analysis 16 (4), 1187-1219, 2021	30	2021
A blocked Gibbs sampler for NGG-mixture models via a priori truncation R Argiento, I Bianchini, A Guglielmi Statistics and Computing 26 (3), 641-661, 2016	28	2016
Perfect simulation involving functionals of a Dirichlet process A Guglielmi, CC Holmes, SG Walker Journal of Computational and Graphical Statistics 11 (2), 306-310, 2002	28	2002
Markov chain Monte Carlo estimation of the law of the mean of a Dirichlet process A Guglielmi, RL Tweedie	28	2001
A “density-based” algorithm for cluster analysis using species sampling Gaussian mixture models R Argiento, A Cremaschi, A Guglielmi Journal of Computational and Graphical Statistics 23 (4), 1126-1142, 2014	26	2014
A Bayesian framework for describing and predicting the stochastic demand of home care patients R Argiento, A Guglielmi, E Lanzarone, I Nawajah Flexible Services and Manufacturing Journal 28, 254-279, 2016	25*	2016
Posterior sampling from -approximation of normalized completely random measure mixtures R Argiento, I Bianchini, A Guglielmi	25	2016
MCMC computations for Bayesian mixture models using repulsive point processes M Beraha, R Argiento, J Møller, A Guglielmi Journal of Computational and Graphical Statistics 31 (2), 422-435, 2022	23	2022
Joint modeling of recurrent events and survival: a Bayesian non-parametric approach G Paulon, M De Iorio, A Guglielmi, F Ieva Biostatistics 21 (1), 1-14, 2020	23	2020
Semiparametric Bayesian models for clustering and classification in the presence of unbalanced in-hospital survival A Guglielmi, F Ieva, AM Paganoni, F Ruggeri, J Soriano Journal of the Royal Statistical Society Series C: Applied Statistics 63 (1 …, 2014	21	2014
A bayesian random effects model for survival probabilities after acute myocardial infarction A Guglielmi, F Ieva, AM Paganoni, F Ruggeri Chilean Journal of Statistics 3 (1), 15-29, 2012	20	2012
Determinantal point process mixtures via spectral density approach I Bianchini, A Guglielmi, FA Quintana	16	2020
Clustering species with residual covariance matrix in joint species distribution models D Bystrova, G Poggiato, B Bektaş, J Arbel, JS Clark, A Guglielmi, ... Frontiers in Ecology and Evolution 9, 601384, 2021	15	2021
A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression R Argiento, A Guglielmi, A Pievatolo Journal of Statistical Planning and Inference 139 (12), 3989-4005, 2009	15	2009
Numerical Robust Bayesian Analysis under Generalized Moment Conditions [With Discussion and Rejoinder] B Betrò, A Guglielmi, A Gugliemi, E Moreno Lecture Notes-Monograph Series, 3-20, 1996	15	1996

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