E-LIB Suche - Ergebnisse für: Camerlenghi, Federico

1

Scaled Process Priors for Bayesian Nonparametric Estimation..:

Camerlenghi, Federico ; Favaro, Stefano ; Masoero, Lorenzo.
Journal of the American Statistical Association. 119 (2022) 545 - p. 320-331 , 2022

Link: https://doi.org/10.1080/..

2

New Frontiers in Bayesian Statistics: BAYSM 2021, Online, S..

Springer Proceedings in Mathematics & Statistics, 405

Argiento, Raffaele ; Camerlenghi, Federico ; Paganin, Sally - 1st ed. 2022 . , 2022

Link: https://doi.org/10.1007/..

3

On Johnson's "Sufficientness" Postulates for Feature-Sampli..:

Camerlenghi, Federico ; Favaro, Stefano
Mathematics. 9 (2021) 22 - p. 2891 , 2021

Link: https://doi.org/10.3390/..

4

More for less: predicting and maximizing genomic variant di..:

Masoero, Lorenzo ; Camerlenghi, Federico ; Favaro, Stefano.
Biometrika. 109 (2021) 1 - p. 17-32 , 2021

Link: https://doi.org/10.1093/..

5

Asymptotic behavior of mean density estimators based on a s..:

Camerlenghi, Federico ; Macci, Claudio ; Villa, Elena
Annals of the Institute of Statistical Mathematics. 73 (2021) 5 - p. 1011-1035 , 2021

Link: https://doi.org/10.1007/..

6

A Common Atoms Model for the Bayesian Nonparametric Analysi..:

Denti, Francesco ; Camerlenghi, Federico ; Guindani, Michele.
Journal of the American Statistical Association. 118 (2021) 541 - p. 405-416 , 2021

Link: https://doi.org/10.1080/..

7

Bayesian Nonparametric Prediction with Multi-sample Data:

, In: Springer Proceedings in Mathematics & Statistics; Nonparametric Statistics,

Camerlenghi, Federico ; Lijoi, Antonio ; Prünster, Igor - p. 113-121 , 2020

Link: https://doi.org/10.1007/..

8

An information theoretic approach to post randomization met..:

Ayed, Fadhel ; Battiston, Marco ; Camerlenghi, Federico
Statistics and Computing. 30 (2020) 5 - p. 1347-1361 , 2020

Link: https://doi.org/10.1007/..

9

DISTRIBUTION THEORY FOR HIERARCHICAL PROCESSES:

Camerlenghi, Federico ; Lijoi, Antonio ; Orbanz, Peter.
The Annals of Statistics. 47 (2019) 1 - p. 67-92 , 2019

Link: https://www.jstor.org/st..

10

Bayesian nonparametric inference beyond the Gibbs‐type fram..:

Camerlenghi, Federico ; Lijoi, Antonio ; Prünster, Igor
Scandinavian Journal of Statistics. 45 (2018) 4 - p. 1062-1091 , 2018

Link: https://doi.org/10.1111/..

11

Bayesian prediction with multiple-samples information:

Camerlenghi, Federico ; Lijoi, Antonio ; Prünster, Igor
Journal of Multivariate Analysis. 156 (2017) - p. 18-28 , 2017

Link: https://doi.org/10.1016/..

12

Optimal Bandwidth of the "Minkowski Content"-Based Estimato..:

Camerlenghi, Federico ; Villa, Elena
Journal of Mathematical Imaging and Vision. 53 (2015) 3 - p. 264-287 , 2015

Link: https://doi.org/10.1007/..

13

Mixture modeling via vectors of normalized independent fini..:

Colombi, Alessandro ; Argiento, Raffaele ; Camerlenghi, Federico.
http://arxiv.org/abs/2310.20376. , 2023

Link: http://arxiv.org/abs/231..

14

Normalized Random Meaures with Interacting Atoms for Bayesi..:

Beraha, Mario ; Argiento, Raffaele ; Camerlenghi, Federico.
http://arxiv.org/abs/2302.09034. , 2023

Link: http://arxiv.org/abs/230..

15

A Common Atoms Model for the Bayesian Nonparametric Analysi..:

Denti, Francesco ; Camerlenghi, Federico ; Guindani, Michele.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120855/. , 2023

Link: http://www.ncbi.nlm.nih...