Sfoglia per Autore
Hierarchical processes in survival analysis
2023 Cogo, R; Camerlenghi, F; Rigon, T
Contaminated Gibbs-Type Priors
2023 Camerlenghi, F; Corradin, R; Ongaro, A
A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data
2023 Denti, F; Camerlenghi, F; Guindani, M; Mira, A
Clustering artists based on the energy distributions of their songs on Spotify via the Common Atoms Model Clustering di artisti in base alla distribuzione dell’energia delle loro canzoni su Spotify con il Common Atom Model
2022 Denti, F; Camerlenghi, F; Guindani, M; Mira, A
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation
2022 Camerlenghi, F; Favaro, S; Masoero, L; Broderick, T
More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics
2022 Masoero, L; Camerlenghi, F; Favaro, S; Broderick, T
Bayesian nonparametric prediction: from species to features
2021 Masoero, L; Camerlenghi, F; Favaro, S; Broderick, T
On the convex combination of a Dirichlet process with a diffuse probability measure
2021 Camerlenghi, F; Corradin, R; Ongaro, A
On johnson’s “sufficientness” postulates for feature-sampling models
2021 Camerlenghi, F; Favaro, S
On consistent and rate optimal estimation of the missing mass
2021 Ayed, F; Battiston, M; Camerlenghi, F; Favaro, S
Consistent estimation of small masses in feature sampling
2021 Ayed, F; Battiston, M; Camerlenghi, F; Favaro, S
Asymptotic behavior of mean density estimators based on a single observation: the Boolean model case
2021 Camerlenghi, F; Macci, C; Villa, E
Optimal disclosure risk assessment
2021 Camerlenghi, F; Favaro, S; Naulet, Z; Panero, F
Survival analysis via hierarchically dependent mixture hazards
2021 Camerlenghi, F; Lijoi, A; Pruenster, I
Nonparametric bayesian multiarmed bandits for single-cell experiment design
2020 Camerlenghi, F; Dumitrascu, B; Ferrari, F; Engelhardt, B; Favaro, S
Bayesian nonparametric prediction with multi-sample data
2020 Camerlenghi, F; Lijoi, A; Pruenster, I
An information theoretic approach to post randomization methods under differential privacy
2020 Ayed, F; Battiston, M; Camerlenghi, F
Hierarchical and nested random probability measures with statistical applications
2019 Camerlenghi, F
Issues with Nonparametric Disclosure Risk Assessment
2019 Camerlenghi, F; Favaro, S; Naulet, Z; Panero, F
Hierarchies of nonparametric priors
2019 Camerlenghi, F; Favaro, S; Masoero, L
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