Dependent mixture models: Clustering and borrowing information. - Antonio Lijoi; Bernardo Nipoti; Igor Prünster (Comput. Stat. Data Anal., 2014)

Posterior analysis of rare variants in Gibbs-type species sampling models. - Oriana Cesari; Stefano Favaro; Bernardo Nipoti (J. Multivar. Anal., 2014)

Discussion of "On simulation and properties of the stable law" by L. Devroye and L. James. - Stefano Favaro; Bernardo Nipoti (Stat. Methods Appl., 2014)

Full Bayesian inference with hazard mixture models. - Julyan Arbel; Antonio Lijoi; Bernardo Nipoti (Comput. Stat. Data Anal., 2016)

Dirichlet process mixtures under affine transformations of the data. - Julyan Arbel; Riccardo Corradin; Bernardo Nipoti (Comput. Stat., 2021)

BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures. - Riccardo Corradin; Antonio Canale; Bernardo Nipoti (J. Stat. Softw., 2021)

Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres. - Pier Giovanni Bissiri; Galatia Cleanthous; Xavier Emery; Bernardo Nipoti; Emilio Porcu (Comput. Stat. Data Anal., 2022)

Importance conditional sampling for Pitman-Yor mixtures. - Antonio Canale; Riccardo Corradin; Bernardo Nipoti (Stat. Comput., 2022)

Accelerated Structured Matrix Factorization. - Lorenzo Schiavon; Bernardo Nipoti; Antonio Canale (J. Comput. Graph. Stat., 2024)