Antonio Lijoi

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2022 J jnl
Posterior Asymptotics for Boosted Hierarchical Dirichlet Process Mixtures.
J. Mach. Learn. Res.
Marta Catalano, Pierpaolo De Blasi, Antonio Lijoi, Igor Prünster
2020 J jnl
Prior Sensitivity Analysis in a Semi-Parametric Integer-Valued Time Series Model.
Entropy
Helton Graziadei, Antonio Lijoi, Hedibert Freitas Lopes, Paulo C. Marques F., Igor Prünster
2020 J jnl
Sampling hierarchies of discrete random structures.
Stat. Comput.
Antonio Lijoi, Igor Prünster, Tommaso Rigon
2017 J jnl
Bayesian prediction with multiple-samples information.
J. Multivar. Anal.
Federico Camerlenghi, Antonio Lijoi, Igor Prünster
2017 J jnl
Introduction to the special issue on Bayesian Nonparametrics.
Int. J. Approx. Reason.
Alessio Benavoli, Antonio Lijoi, Antonietta Mira
2016 J jnl
Full Bayesian inference with hazard mixture models.
Comput. Stat. Data Anal.
Julyan Arbel, Antonio Lijoi, Bernardo Nipoti
2015 J jnl
Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process?
IEEE Trans. Pattern Anal. Mach. Intell.
Pierpaolo De Blasi, Stefano Favaro, Antonio Lijoi, Ramsés H. Mena, Igor Prünster, Matteo Ruggiero
2014 J jnl
Dependent mixture models: Clustering and borrowing information.
Comput. Stat. Data Anal.
Antonio Lijoi, Bernardo Nipoti, Igor Prünster
2014 J jnl
Discussion of "On simulation and properties of the stable law" by L. Devroye and L. James.
Stat. Methods Appl.
Antonio Lijoi, Igor Prünster
2011 J jnl
Vectors of two-parameter Poisson-Dirichlet processes.
J. Multivar. Anal.
Fabrizio Leisen, Antonio Lijoi
2008 J jnl
A Bayesian Nonparametric Approach for Comparing Clustering Structures in EST Libraries.
J. Comput. Biol.
Antonio Lijoi, Ramsés H. Mena, Igor Prünster
2007 J jnl
A Bayesian nonparametric method for prediction in EST analysis.
BMC Bioinform.
Antonio Lijoi, Ramsés H. Mena, Igor Prünster