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

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Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process? von De Blasi, Pierpaolo, Favaro, Stefano, Lijoi, Antonio, Mena, Ramses H., Prunster, Igor, Ruggiero, Matteo

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Measuring dependence in the Wasserstein distance for Bayesian nonparametric models von Catalano, Marta, Lijoi, Antonio, Prünster, Igor

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Flexible clustering via hidden hierarchical Dirichlet priors von Lijoi, Antonio, Prünster, Igor, Rebaudo, Giovanni

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Sampling hierarchies of discrete random structures von Lijoi, Antonio, Prünster, Igor, Rigon, Tommaso

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Bayesian modeling via discrete nonparametric priors von Catalano, Marta, Lijoi, Antonio, Prünster, Igor, Rigon, Tommaso

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

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

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Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments von Lijoi, Antonio, Nipoti, Bernardo

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A Wasserstein Index of Dependence for Random Measures von Catalano, Marta, Lavenant, Hugo, Lijoi, Antonio, Prünster, Igor

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Finite-dimensional Discrete Random Structures and Bayesian Clustering von Lijoi, Antonio, Prünster, Igor, Rigon, Tommaso

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Smoothing distributions for conditional Fleming–Viot and Dawson–Watanabe diffusions von Ascolani, Filippo, Lijoi, Antonio, Ruggiero, Matteo

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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... von 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 von Ascolani, Filippo, Lijoi, Antonio, Prünster, Igor

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

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Predictive inference with Fleming–Viot-driven dependent Dirichlet processes von Ascolani, Filippo, Lijoi, Antonio, Ruggiero, Matteo

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

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Bayesian inference with dependent normalized completely random measures von LIJOI, ANTONIO, NIPOTI, BERNARDO, PRÜNSTER, IGOR

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A Bayesian nonparametric method for prediction in EST analysis von Lijoi, Antonio, Mena, Ramsés H, Prünster, Igor

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Vectors of two-parameter Poisson–Dirichlet processes von Leisen, Fabrizio, Lijoi, Antonio

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