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Bayesian Predictive Inference Without a Prior (2023)
Journal Article
Berti, P., Dreassi, E., Leisen, F., Pratelli, L., & Rigo, P. (2023). Bayesian Predictive Inference Without a Prior. Statistica Sinica, 33(4), 2405-2429. https://doi.org/10.5705/ss.202021.0238

Let (Xn : n ≥ 1) be a sequence of random observations. Let σn(·) = P (Xn+1 ∈ · | X1, . . . , Xn) be the n-th predictive distribution and σ0(·)=P (X1 ∈ ·) the marginal distribution of X1. To make predictions on (Xn), a Bayesian forecaster only needs t... Read More about Bayesian Predictive Inference Without a Prior.

Survival Regression Models With Dependent Bayesian Nonparametric Priors (2021)
Journal Article
Riva-Palacio, A., Leisen, F., & Griffin, J. (2022). Survival Regression Models With Dependent Bayesian Nonparametric Priors. Journal of the American Statistical Association, 117(539), 1530-1539. https://doi.org/10.1080/01621459.2020.1864381

We present a novel Bayesian nonparametric model for regression in survival analysis. Our model builds on the classical neutral to the right model of Doksum and on the Cox proportional hazards model of Kim and Lee. The use of a vector of dependent Bay... Read More about Survival Regression Models With Dependent Bayesian Nonparametric Priors.

Two-group Poisson-Dirichlet mixtures for multiple testing (2020)
Journal Article
Denti, F., Guindani, M., Leisen, F., Lijoi, A., Wadsworth, W. D., & Vannucci, M. (2021). Two-group Poisson-Dirichlet mixtures for multiple testing. Biometrics, 77(2), 622-633. https://doi.org/10.1111/biom.13314

© 2020 The International Biometric Society The simultaneous testing of multiple hypotheses is common to the analysis of high-dimensional data sets. The two-group model, first proposed by Efron, identifies significant comparisons by allocating observa... Read More about Two-group Poisson-Dirichlet mixtures for multiple testing.