Sfoglia per Autore
Are Gibbs-type priors the most natural generalization of the Dirichlet process?
2015-01-01 P. De Blasi; S. Favaro; A. Lijoi; R.H. Mena; I. Pruenster; M. Ruggiero
Optimal filtering and the dual process
2014-01-01 Omiros Papaspiliopoulos; Matteo Ruggiero
Species dynamics in the two-parameter Poisson-Dirichlet diffusion model
2014-01-01 Matteo Ruggiero
A Bayesian nonparametric approach to modeling market share dynamics
2013-01-01 I. PRUENSTER; M. RUGGIERO
Alpha-diversity processes and normalized inverse-Gaussian diffusions
2013-01-01 Matteo Ruggiero; Stephen G Walker; Stefano Favaro
On the role of normalized inverse-Gaussian priors in continuous-time models
2012-01-01 Matteo Ruggiero
Species dynamics in the two-parameter Poisson-Dirichlet diffusion model
2012-01-01 Matteo Ruggiero
Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling
2011-01-01 R. Mena; M. Ruggiero; S. Walker
A Bayesian nonparametric approach to modeling market share dynamics.
2011-01-01 I. Pruenster; M. Ruggiero
On a prediction problem for an infinite dimensional hidden Markov model
2011-01-01 Matteo Ruggiero
Alpha-diversity processes and normalized inverse-Gaussian diffusions
2011-01-01 M. Ruggiero; S.G. Walker; S. Favaro
A note on convergence rates for posterior distributions via large deviations techniques
2010-01-01 MARTINELLI ANDREA; M. RUGGIERO; WALKER STEPHEN G
Bayesian non parametric construction of the Fleming-Viot process with fertility selection
2009-01-01 M. RUGGIERO;WALKER STEPHEN G.
Geometric Stick-Breaking Processes for Continuous-Time Nonparametric Modeling
2009-01-01 Ramses H. Mena; M. Ruggiero; S.G. Walker
Countable representation for infinite-dimensional diffusions derived from the two parameter Poisson-Dirichlet process
2009-01-01 M. RUGGIERO;STEPHEN G WALKER
A Gibbs-sampler based random process in Bayesian nonparametrics
2009-01-01 S. Favaro; M. Ruggiero; S. G. Walker
The neutral population model and Bayesian nonparametrics
2007-01-01 S. Favaro; M. Ruggiero; D. Spanò; S.G. Walker
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