Discussions
Sparse graph using exchangeable random measures by F. Caron and E. Fox (with J. Griffin). Journal of the Royal Statistical Society - Series B, 79, 1295--1366, 2017.
Book Chapters
Species sampling priors for modeling dependence: an application to the detection of chromosomal aberrations (with E. Airoldi, F. Bassetti and M. Guindani).
Nonparametric Bayesian Inference in Biostatistics, Springer series "Frontiers in Probability and Statistical Sciences", 97-114, 2015.
Papers in referred journals
1. Modelling preference data with the Wallenius distribution (with C. Grazian and B. Liseo). Forthcoming in the Journal of the Royal Statistical Society - Series A.
2. Bayesian loss-based approach to change point analysis (with L. Hinoveanu and C. Villa). Forthcoming in Computational Statistics and Data Analysis.
3. An approximate likelihood perspective on ABC methods (with G. Karabatsos). Statistics Surveys, 12, 66--104.
4. Modelling and computation using NCoRM mixtures for density regression (with J. Griffin). Bayesian Analysis, 13, 897--916, 2018.
5. Bayesian nonparametric estimation of survival functions with multiple-samples information (with A. Riva-Palacio). Electronic Journal of Statistics, 12, 1330-1357, 2018.
6. Limiting behaviour of the stationary search cost distribution driven by a generalized gamma process (with A. Kume and A. Lijoi). Electronic communications in probability, 23, paper no. 11, 1-10, 2018.
7. Bayesian nonparametric conditional copula estimation of twin data (with L. Dalla Valle and L. Rossini). Journal of the Royal Statistical Society - Series C, 67, 523-548, 2018.
8. Objective Bayesian Analysis of the Yule-Simon distribution with applications (with L. Rossini and C. Villa). Computational Statistics, 33, 99--106, 2018.
9. Adaptive independent sticky algorithms (with R. Casarin, L. Martino and D. Luengo). EURASIP Journal on Avances in Signal Processing, 5, 2018.
10. Integrability conditions for Compound Random Measures (with A. Riva Palacio). Statistics and Probability Letters, 135, 32--37, 2018.
11. Objective Bayesian analysis of insurance risks with the skewed Student-t distribution (with Juan Miguel Marin and C. Villa). Applied Stochastic Models in Business and Industry, 33, 136-151, 2017.
12. A note on the posterior inference for the Yule-Simon distribution (with L. Rossini and C. Villa). Journal of Statistical Computation and Simulation, 87, 1179-1188, 2018.
13. Compound random measures and their use in Bayesian non-parametrics (with J. Griffin). Journal of the Royal Statistical Society - Series B, 79, 525--545, 2017.
14. Embarassingly parallel sequential MCMC for large sets of time series (with R. Craiu and R. Casarin). Statistics and its interface, 9, 497--508, 2016, special issue on Big Data.
15. A Bootstrap likelihood approach to Bayesian Computation (with Juan Miguel Marin and Weixuan Zhu). Australian and New Zealand Journal of Statistics, 58, 227--244, 2016.
16. Merging exchangeable occupancy models: the family M(a) and its connection with the maximum entropy principle (with F. Collet and F.Spizzichino). Methodology and Computing in Applied Probability, 18, 979--997, 2016.
17. A Bayesian Beta Markov Random Field Calibration of the Term Structure of Implied Risk Neutral Densities (with R. Casarin, G. Molina and E. ter Horst). Bayesian Analysis, 10, 791--819, 2015. Lindley Prize finalist.
18. A multivariate extension of a vector of two-parameter Poisson-Dirichlet processes (with W. Zhu). Journal of Nonparametric Statistics, Vol 27, 89-105, 2015.
19. Generalized Species Sampling Priors with Latent Beta reinforcements (with E. Airoldi, F. Bassetti, T. Costa and M. Guindani). Journal of the American Statistical Association-Theory and Methods, 2014, Vol. 109, 1466-1480.
20. Beta-Product dependent Pitman-Yor Processes for Bayesian inference (with F. Bassetti and R. Casarin). Journal of Econometrics, Vol. 180, 49-72, 2014.
1. Bayes calculations from quantile implied likelihood
with G. Karabatsos, https://arxiv.org/abs/1802.00796
2. On a Global Objective Prior from Score Rules
with C. Villa and S. G. Walker, https://arxiv.org/abs/1706.00599
3. Flexible and objective time series analysis: a loss-based approach with Two-piece location-scale distributions
with L. Rossini and C. Villa, https://arxiv.org/abs/1802.05292
4. Two-groups Poisson-Dirichlet mixtures for multiple testing, with an application to the
analysis of Microbiome data
with M.Guindani, A. Lijoi, M Vannucci and D. Wadsworth