ANTONIO LIJOI

26 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-6159-2650

Bocconi University

Publications

• Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks — Journal of the American Statistical Association 2025
• Finite-dimensional Discrete Random Structures and Bayesian Clustering — Journal of the American Statistical Association 2024
• Nonparametric priors with full-range borrowing of information — Biometrika 2024
• 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 — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
• A Wasserstein Index of Dependence for Random Measures — Journal of the American Statistical Association 2024
• Clustering consistency with Dirichlet process mixtures — Biometrika 2023
• Filippo Ascolani, Antonio Lijoi, and Igor Prünster’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
• Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes — The Annals of Applied Statistics 2023
• Posterior Asymptotics for Boosted Hierarchical Dirichlet Process Mixtures — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Measuring dependence in the Wasserstein distance for Bayesian nonparametric models — The Annals of Statistics 2021
• Survival analysis via hierarchically dependent mixture hazards — The Annals of Statistics 2021
• The Pitman–Yor multinomial process for mixture modelling — Biometrika 2020
• Distribution theory for hierarchical processes — The Annals of Statistics 2019 (name-matched, not ORCID-linked)
• On the Pitman–Yor process with spike and slab base measure — Biometrika 2017
• A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments — Journal of the American Statistical Association 2014
• On the stick-breaking representation of normalized inverse Gaussian priors — Biometrika 2012
• Bayesian non-parametric inference for species variety with a two-parameter Poisson–Dirichlet process prior — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2009
• On rates of convergence for posterior distributions in infinite-dimensional models — The Annals of Statistics 2007 (name-matched, not ORCID-linked)
• Controlling the reinforcement in Bayesian non-parametric mixture models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2007
• Bayesian Nonparametric Estimation of the Probability of Discovering New Species — Biometrika 2007
• On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation — Journal of the American Statistical Association 2005
• Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors — Journal of the American Statistical Association 2005
• Data tracking and the understanding of Bayesian consistency — Biometrika 2005
• Distributional results for means of normalized random measures with independent increments — The Annals of Statistics 2003
• Exponential functionals and means of neutral‐to‐the‐right priors — Biometrika 2003 (name-matched, not ORCID-linked)
• Principled Estimation and Prediction with Competing Risks: a Bayesian Nonparametric Approach — Journal of the American Statistical Association