Preprints

  1. Corradin R., Danese L., Ongaro A., KhudaBukhsh W. R. (2024+). Model-based clustering of time-dependent observations with common structural chang. [ArXiv]

  2. Camerlenghi F., Corradin R., Ongaro A. (2024+). Nested Compound Random Measures. [ArXiv]

Articles in referred journals

  1. Beraha M., Corradin R. (forthcoming). Bayesian Nonparametric Model-based Clustering with Intractable Distributions: An ABC Approach. Bayesian Analysis. [ArXiv] [Link]

  2. Argiento R., Corradin R., Guglielmi A., Lanzarone E. (2024). Clustering blood donors via mixtures of product partition models with covariate. Biometrics. [ArXiv] [Link]

  3. Camerlenghi F., Corradin R., Ongaro A.: Contaminated Gibbs–type priors. Bayesian Analysis (2024). [ArXiv] [Link]

  4. Canale, A., Corradin, R., Nipoti, B. (2022). Importance conditional sampling for Bayesian nonparametric mixtures. Statistics and Computing. [ArXiv] [Link]

  5. Corradin, R., Danese, L., Ongaro, A. (2022). Bayesian nonparametric change points detection for multivariate time series with missing observations. International Journal of Approximate Reasoning. [Link]

  6. Canale, A., Corradin, R., Nipoti, B. (2021). BNPmix: an R package for Bayesian nonparametric modelling via Pitman-Yor mixtures. Journal of Statistical Software. [Link]

  7. Corradin R., Nieto Barajas L.E., Nipoti B. (2021). Optimal stratification of survival data via Bayesian nonparametric mixtures. Econometrics and Statistics. [ArXiv] [Link]

  8. Arbel, J., Corradin, R., Nipoti, B. (2020). Dirichlet process mixtures under affine transformations of the data. Computational Statistics. [ArXiv] [Link]

  9. Boscari, E., Pujolar, J.M., Dupanloup, I., Corradin, R., Congiu, L. (2014). Captive Breeding Programs Based on Family Groups in Polyploid Sturgeons. PLoS ONE. [Link]

Proceedings and discussions

  1. Marchionni E., Corradin R. (2023). Bayesian nonparametric multiple change point detection for time series of compositional data. Proceedings of 2023 Conference of the Italian Statistical Society.

  2. Corradin R., Danese L., KhudaBukhsha W., Ongaro A. (2023). Model-based clustering of nonstationary time series with common historical change times. Proceedings of 2023 Conference of the Italian Statistical Society.

  3. Camerlenghi F., Corradin R., Ongaro A. (2021). On the convex combination of a Dirichlet process with a diffuse probability measure. Proceedings of 2021 Conference of the Italian Statistical Society.

  4. Corradin R., Nieto Barajas L.E., Nipoti B. (2020). Pitman-Yor mixture models for survival data stratification. Proceedings of 2020 Conference of the Italian Statistical Society.

  5. Beraha M., Corradin R. (2020). An ABC algorithm for random partitions arising from the Dirichlet process. Proceedings of 2020 Conference of the Italian Statistical Society.

  6. Canale, A., Corradin, R., Nipoti, B. (2019). Galaxy color distribution estimation via dependent nonparametric mixtures. Proceedings of 2019 Conference of the Italian Statistical Society.

  7. Arbel, J., Corradin, R., Lewandowski, M. (2018). Discussion of “Bayesian cluster analysis: Point estimation and credible balls.” by Wade and Ghahramani. Bayesian Analysis.