Search Results - "Lijoi, Antonio"

DISTRIBUTION THEORY FOR HIERARCHICAL PROCESSES by Camerlenghi, Federico, Lijoi, Antonio, Orbanz, Peter, Prünster, Igor

“…Hierarchies of discrete probability measures are remarkably popular as nonparametric priors in applications, arguably due to two key properties: (i) they…”
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Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process? by De Blasi, Pierpaolo, Favaro, Stefano, Lijoi, Antonio, Mena, Ramses H., Prunster, Igor, Ruggiero, Matteo

“…Discrete random probability measures and the exchangeable random partitions they induce are key tools for addressing a variety of estimation and prediction…”
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Measuring dependence in the Wasserstein distance for Bayesian nonparametric models by Catalano, Marta, Lijoi, Antonio, Prünster, Igor

“…The proposal and study of dependent Bayesian nonparametric models has been one of the most active research lines in the last two decades, with random vectors…”
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Flexible clustering via hidden hierarchical Dirichlet priors by Lijoi, Antonio, Prünster, Igor, Rebaudo, Giovanni

“…The Bayesian approach to inference stands out for naturally allowing borrowing information across heterogeneous populations, with different samples possibly…”
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Sampling hierarchies of discrete random structures by Lijoi, Antonio, Prünster, Igor, Rigon, Tommaso

“…Hierarchical normalized discrete random measures identify a general class of priors that is suited to flexibly learn how the distribution of a response…”
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Bayesian modeling via discrete nonparametric priors by Catalano, Marta, Lijoi, Antonio, Prünster, Igor, Rigon, Tommaso

“…The availability of complex-structured data has sparked new research directions in statistics and machine learning. Bayesian nonparametrics is at the forefront…”
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Survival analysis via hierarchically dependent mixture hazards by Camerlenghi, Federico, Lijoi, Antonio, Prünster, Igor

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Prior Sensitivity Analysis in a Semi-Parametric Integer-Valued Time Series Model by Graziadei, Helton, Lijoi, Antonio, Lopes, Hedibert F., Marques F., Paulo C., Prünster, Igor

“…We examine issues of prior sensitivity in a semi-parametric hierarchical extension of the INAR(p) model with innovation rates clustered according to a…”
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A Bayesian nonparametric method for prediction in EST analysis by Lijoi, Antonio, Mena, Ramsés H, Prünster, Igor

“…Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library,…”
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A Bayesian nonparametric approach for comparing clustering structures in EST libraries by Lijoi, Antonio, Mena, Ramsés H, Prünster, Igor

“…Inference for Expressed Sequence Tags (ESTs) data is considered. We focus on evaluating the redundancy of a cDNA library and, more importantly, on comparing…”
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Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments by Lijoi, Antonio, Nipoti, Bernardo

“…Mixture models for hazard rate functions are widely used tools for addressing the statistical analysis of survival data subject to a censoring mechanism. The…”
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A Wasserstein Index of Dependence for Random Measures by Catalano, Marta, Lavenant, Hugo, Lijoi, Antonio, Prünster, Igor

“…Optimal transport and Wasserstein distances are flourishing in many scientific fields as a means for comparing and connecting random structures. Here we…”
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Finite-dimensional Discrete Random Structures and Bayesian Clustering by Lijoi, Antonio, Prünster, Igor, Rigon, Tommaso

“…Discrete random probability measures stand out as effective tools for Bayesian clustering. The investigation in the area has been very lively, with a strong…”
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Filippo Ascolani, Antonio Lijoi and Igor Prünster’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu by Ascolani, Filippo, Lijoi, Antonio, Prünster, Igor

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Filippo Ascolani, Antonio Lijoi, and Igor Prünster’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker by Ascolani, Filippo, Lijoi, Antonio, Prünster, Igor

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The Pitman–Yor multinomial process for mixture modelling by Lijoi, Antonio, Prünster, Igor, Rigon, Tommaso

“…Discrete nonparametric priors play a central role in a variety of Bayesian procedures, most notably when used to model latent features, such as in clustering,…”
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Predictive inference with Fleming–Viot-driven dependent Dirichlet processes by Ascolani, Filippo, Lijoi, Antonio, Ruggiero, Matteo

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Survival analysis via hierarchically dependent mixture hazards by Camerlenghi, Federico, Lijoi, Antonio, Prünster, Igor

“…Hierarchical nonparametric processes are popular tools for defining priors on collections of probability distributions, which induce dependence across multiple…”
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Bayesian inference with dependent normalized completely random measures by LIJOI, ANTONIO, NIPOTI, BERNARDO, PRÜNSTER, IGOR

“…The proposal and study of dependent prior processes has been a major research focus in the recent Bayesian nonparametric literature. In this paper, we…”
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Vectors of two-parameter Poisson–Dirichlet processes by Leisen, Fabrizio, Lijoi, Antonio

“…The definition of vectors of dependent random probability measures is a topic of interest in applications to Bayesian statistics. They represent dependent…”
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