I. Prünster

发表

Controlling the reinforcement in Bayesian non‐parametric mixture models

Ramsés H. Mena, A. Lijoi, I. Prünster, 2007 .

Posterior Analysis for Normalized Random Measures with Independent Increments

Lancelot F. James, A. Lijoi, I. Prünster, 2009 .

On a class of distributions on the simplex

I. Prünster, S. Favaro, G. Hadjicharalambous, 2011 .

Distributional results for means of normalized random measures with independent increments

A. Lijoi, I. Prünster, E. Regazzini, 2003 .

Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors

Ramsés H. Mena, A. Lijoi, I. Prünster, 2005 .

Conjugacy as a Distinctive Feature of the Dirichlet Process

Lancelot F. James, A. Lijoi, I. Prünster, 2006 .

On the stick-breaking representation of normalized inverse Gaussian priors

A. Lijoi, I. Prünster, Stafano Favaro, 2012 .

Extending Doob's consistency theorem to nonparametric densities

S. Walker, A. Lijoi, I. Prünster, 2004 .

Bayesian Nonparametric Estimation of the Probability of Discovering New Species

Ramsés H. Mena, A. Lijoi, I. Prünster, 2007 .

On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation

S. Walker, A. Lijoi, I. Prünster, 2005 .

Data tracking and the understanding of Bayesian consistency

S. Walker, A. Lijoi, I. Prünster, 2005 .

Bayesian non‐parametric inference for species variety with a two‐parameter Poisson–Dirichlet process prior

Ramsés H. Mena, A. Lijoi, I. Prünster, 2009 .

On the Pitman–Yor process with spike and slab base measure

A. Lijoi, I. Prünster, Bernardo Nipoti, 2017 .

BAYESIAN CONSISTENCY FOR STATIONARY MODELS

Stephen G. Walker, Antonio Lijoi, Igor Prünster, 2007, Econometric Theory.

The Pitman–Yor multinomial process for mixture modelling

Tommaso Rigon, Antonio Lijoi, Igor Prünster, 2020 .

A sensitivity analysis for Bayesian nonparametric density estimators

Luis E. Nieto-Barajas, Igor Prünster, I. Prünster, 2009 .

A Bayesian Nonparametric Approach to Ecological Risk Assessment

I. Prünster, J. Arbel, G. K. K. King, 2016 .

Bayesian nonparametric inference beyond the Gibbs‐type framework

A. Lijoi, I. Prünster, F. Camerlenghi, 2018 .

On the Truncation Error of a Superposed Gamma Process

I. Prünster, J. Arbel, 2016 .

Exchangeable random partitions for statistical and economic modelling

A. Lijoi, I. Prünster, P. Muliere, 2010 .

Finite-dimensional Discrete Random Structures and Bayesian Clustering

A. Lijoi, I. Prünster, T. Rigon, 2022, Journal of the American Statistical Association.

Truncation error of a superposed gamma process in a decreasing order representation

I. Prünster, J. Arbel, 2017, NIPS 2017.

8th Workshop on Bayesian Nonparametrics

Michael I. Jordan, D. Dunson, S. Walker, 2011 .

Discussion of “On simulation and properties of the stable law” by L. Devroye and L. James

A. Lijoi, I. Prünster, 2014, Statistical Methods & Applications.

Contributions to the understanding of Bayesian consistency

S. Walker, A. Lijoi, I. Prünster, 2004 .

Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process

I. Prünster, R. H. Mena, P. De Blasi, 2021, Annals of the Institute of Statistical Mathematics.

Sampling hierarchies of discrete random structures

Tommaso Rigon, Igor Prünster, Antonio Lijoi, 2020, Statistics and Computing.

Approximation of Bayesian models for time-to-event data

A. Lijoi, I. Prünster, Marta Catalano, 2020 .

Discussion of “On simulation and properties of the stable law” by L. Devroye and L. James

Antonio Lijoi, Igor Prünster, A. Lijoi, 2014, Stat. Methods Appl..

Distributional properties of means of random probability measures

Antonio Lijoi, Igor Prünster, A. Lijoi, 2009 .

Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective

A. Lijoi, I. Prünster, P. Muliere, 2016 .

Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process?

Matteo Ruggiero, Stefano Favaro, Antonio Lijoi, 2015, IEEE Trans. Pattern Anal. Mach. Intell..

DISTRIBUTIONS OF FUNCTIONALS OF THE TWO PARAMETER POISSON-DIRICHLET PROCESS

Antonio Lijoi, Lancelot F. James, Igor Prünster, 2006 .

Bayesian Nonparametric Analysis for a Generalized Dirichlet Process Prior

Antonio Lijoi, Ramsés H. Mena, Igor Prünster, 2005 .

Flexible clustering via hidden hierarchical Dirichlet priors

Antonio Lijoi, Igor Prünster, Giovanni Rebaudo, 2022, Scandinavian Journal of Statistics.

BNPdensity: Bayesian nonparametric mixture modelling in R

J. Arbel, G. Kon Kam King, A. Lijoi, 2021, Australian & New Zealand Journal of Statistics.

BNPdensity: Bayesian nonparametric mixture modelling in R

A. Lijoi, I. Prünster, L. Nieto-Barajas, 2021 .

Poisson-Driven Stationary Markov Models

I. Prünster, Michelle Anzarut, C. Nava, 2018 .

Robustifying Bayesian nonparametric mixtures for count data

Antonio Canale, Igor Prünster, I. Prünster, 2017, Biometrics.

Dependent mixture models: Clustering and borrowing information

Antonio Lijoi, Bernardo Nipoti, Igor Prünster, 2014, Comput. Stat. Data Anal..

Posterior analysis for some classes of nonparametric models

S. Walker, A. Lijoi, I. Prünster, 2008 .

ON CONVERGENCE RATES FOR NONPARAMETRIC POSTERIOR DISTRIBUTIONS

S. Walker, A. Lijoi, I. Prünster, 2007 .

Latent Nested Nonparametric Priors (with Discussion).

D. Dunson, A. Lijoi, I. Prünster, 2018, Bayesian analysis.

Exchangeable Hoeffding decompositions over finite sets: A combinatorial characterization and counterexamples

Giovanni Peccati, Igor Prünster, Omar El-Dakkak, 2014, J. Multivar. Anal..

Motor cortex excitability changes following a lesion in the posterior columns of the cervical spinal cord

I. Prünster, S. Golaszewski, G. Ladurner, 2008, Neuroscience Letters.

On the inferential implications of decreasing weight structures in mixture models

Ramsés H. Mena, Pierpaolo De Blasi, Asael Fabian Martínez, 2020, Comput. Stat. Data Anal..

Prior Sensitivity Analysis in a Semi-Parametric Integer-Valued Time Series Model

Hedibert Freitas Lopes, Igor Prünster, Antonio Lijoi, 2020, Entropy.

WORKING PAPER SERIES

S. Walker, A. Lijoi, I. Prünster, 2005 .