Fabrizio Leisen

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Roberto CASARINCa' Foscari University of VeniceVerified email at unive.it
Luca RossiniAssociate Professor in Statistics - University of MilanVerified email at unimi.it
Luca MartinoAssociate ProfessorVerified email at urjc.es
Radu CraiuProfessor of Statistics, University of TorontoVerified email at utoronto.ca
Jim GriffinUniversity College LondonVerified email at ucl.ac.uk
David LuengoUniversidad Politécnica de Madrid (UPM)Verified email at upm.es
Michele GuindaniDepartment of Biostatistics, University of California, Los AngelesVerified email at ucla.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
George KarabatsosUniversity of Illinois-ChicagoVerified email at uic.edu
Enrique ter HorstAssociate Professor in Finance, Universidad de los Andes (Uniandes)Verified email at uniandes.edu.co
Antonietta MiraProfessore di Statistica, Università della Svizzera italiana, LuganoVerified email at usi.ch
Fabio SpizzichinoUniversity Sapienza, RomeVerified email at fondazione.uniroma1.it
Clara GrazianUniversity of SydneyVerified email at sydney.edu.au
Florentina SuterUniversity of BucharestVerified email at g.unibuc.ro
Christian ParoissinUniversité de Pau et des Pays de l'AdourVerified email at univ-pau.fr
Edmundo J. Huertas CejudoAssociate Professor at Universidad de Alcalá (UAH)Verified email at uah.es

Fabrizio Leisen

King's College London

Verified email at kcl.ac.uk - Homepage

Bayesian Statistics with a particular focus in Bayesian nonparametrics Objective Bayes MCMC


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Compound random measures and their use in Bayesian non-parametrics JE Griffin, F Leisen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017	69	2017
Interacting multiple try algorithms with different proposal distributions R Casarin, R Craiu, F Leisen Statistics and Computing 23, 185-200, 2013	64	2013
Beta-product dependent Pitman–Yor processes for Bayesian inference F Bassetti, R Casarin, F Leisen Journal of Econometrics 180 (1), 49-72, 2014	55	2014
An approximate likelihood perspective on ABC methods G Karabatsos, F Leisen	40	2018
Conditionally identically distributed species sampling sequences F Bassetti, I Crimaldi, F Leisen Advances in applied probability 42 (2), 433-459, 2010	40	2010
Vectors of two-parameter Poisson–Dirichlet processes F Leisen, A Lijoi Journal of Multivariate Analysis 102 (3), 482-495, 2011	39	2011
Bayesian Model Selection for Beta Autoregressive Processes R Casarin, L Dalla Valle, F Leisen Bayesian Analysis 7 (2), 385-410, 2012	38	2012
Generalized species sampling priors with latent beta reinforcements EM Airoldi, T Costa, F Bassetti, F Leisen, M Guindani Journal of the American Statistical Association 109 (508), 1466-1480, 2014	37	2014
Bayesian non‐parametric conditional copula estimation of twin data LD Valle, F Leisen, L Rossini Journal of the Royal Statistical Society: Series C (Applied Statistics) 67 …, 2018	36	2018
Adaptive independent sticky MCMC algorithms L Martino, R Casarin, F Leisen, D Luengo EURASIP Journal on Advances in Signal Processing 2018, 1-28, 2018	29	2018
A bootstrap likelihood approach to Bayesian computation W Zhu, JM Marin, F Leisen Australian & New Zealand Journal of Statistics 58 (2), 227-244, 2016	25	2016
A vector of Dirichlet processes F Leisen, A Lijoi, D Spanó	23	2013
An extension of Peskun and Tierney orderings to continuous time Markov chains F Leisen, A Mira Statistica Sinica, 1641-1651, 2008	22	2008
Survival regression models with dependent Bayesian nonparametric priors A Riva-Palacio, F Leisen, J Griffin Journal of the American Statistical Association 117 (539), 1530-1539, 2022	21*	2022
A Bayesian beta Markov random field calibration of the term structure of implied risk neutral densities R Casarin, F Leisen, G Molina, E Ter Horst	19	2015
On multiple try schemes and the Particle Metropolis-Hastings algorithm L Martino, F Leisen, J Corander arXiv preprint arXiv:1409.0051, 2014	16	2014
A note on the posterior inference for the Yule–Simon distribution F Leisen, L Rossini, C Villa Journal of statistical computation and simulation 87 (6), 1179-1188, 2017	15	2017
On a class of objective priors from scoring rules (with discussion) F Leisen, C Villa, SG Walker Bayesian Analysis 15 (4), 1345-1423, 2020	13*	2020
Modelling and computation using NCoRM mixtures for density regression J Griffin, F Leisen	13	2018
A multivariate extension of a vector of two-parameter Poisson–Dirichlet processes W Zhu, F Leisen Journal of Nonparametric Statistics 27 (1), 89-105, 2015	13	2015

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