Igor Prünster

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
On the inferential implications of decreasing weight structures in mixture models.
Comput. Stat. Data Anal.
Pierpaolo De Blasi, Asael Fabian Martínez, Ramsés H. Mena, 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
A moment-matching Ferguson & Klass algorithm.
Stat. Comput.
Julyan Arbel, Igor Prünster
2017 J jnl
Bayesian prediction with multiple-samples information.
J. Multivar. Anal.
Federico Camerlenghi, Antonio Lijoi, Igor Prünster
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
2014 J jnl
Exchangeable Hoeffding decompositions over finite sets: A combinatorial characterization and counterexamples.
J. Multivar. Anal.
Omar El-Dakkak, Giovanni Peccati, Igor Prünster
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