Nonparametric Bayes and empirical Bayes for species sampling problems: classical questions, new directions and related issues

Project Information

NBEB-SSP

Grant agreement ID: 817257

DOI

10.3030/817257

Project closed

EC signature date 14 February 2019

Start date 1 March 2019

End date 29 February 2024

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 982 930,00

EU contribution

€ 982 930,00

Coordinated by

UNIVERSITA DEGLI STUDI DI TORINO
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (30)

On Johnson’s “Sufficientness” Postulates for Feature-Sampling Models

Author(s): Federico Camerlenghi, Stefano Favaro
Published in: Mathematics, 2021, ISSN 2227-7390
Publisher: MDPI
DOI: 10.3390/math9222891

Upscaling human activity data: A statistical ecology approach

Author(s): Anna Tovo, Samuele Stivanello, Amos Maritan, Samir Suweis, Stefano Favaro, Marco Formentin
Published in: PLOS ONE, Issue 16/7, 2021, Page(s) e0253461, ISSN 1932-6203
Publisher: Public Library of Science
DOI: 10.1371/journal.pone.0253461

Bayesian nonparametric disclosure risk assessment

Author(s): Stefano Favaro, Francesca Panero, Tommaso Rigon
Published in: Electronic Journal of Statistics, 2021, ISSN 1935-7524
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/21-ejs1933

A Compound Poisson Perspective of Ewens–Pitman Sampling Model

Author(s): Emanuele Dolera, Stefano Favaro
Published in: Mathematics, 2021, ISSN 2227-7390
Publisher: MDPI
DOI: 10.3390/math9212820

Lipschitz continuity of probability kernels in the optimal transport framework

Author(s): Emanuele Dolera; Edoardo Mainini
Published in: Annales de l’Institut Henri Poincaré - Probabilités et Statistiques, 2023, ISSN 0246-0203
Publisher: Elsevier BV
DOI: 10.1214/23-aihp1389

On consistent and rate optimal estimation of the missing mass

Author(s): Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro
Published in: Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, Issue 57/3, 2021, Page(s) 1476-1494, ISSN 0246-0203
Publisher: Elsevier BV
DOI: 10.1214/20-aihp1126

A Good-Turing estimator for feature allocation models

Author(s): Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro
Published in: Electronic Journal of Statistics, Issue 13/2, 2019, Page(s) 3775-3804, ISSN 1935-7524
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/19-ejs1614

Nonparametric Bayesian multiarmed bandits for single-cell experiment design

Author(s): Federico Camerlenghi, Bianca Dumitrascu, Federico Ferrari, Barbara E. Engelhardt, Stefano Favaro
Published in: The Annals of Applied Statistics, Issue 14/4, 2020, Page(s) 2003-2019, ISSN 1932-6157
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/20-aoas1370

A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data

Author(s): Denti, Francesco; Camerlenghi, Federico; Guindani, Michele; Mira, Antonietta
Published in: Journal of the American Statistical Association, Issue 1, 2021, ISSN 1537-274X
Publisher: Taylor and Francis
DOI: 10.6084/m9.figshare.14666073.v1

An information theoretic approach to post randomization methods under differential privacy

Author(s): Fadhel Ayed, Marco Battiston, Federico Camerlenghi
Published in: Statistics and Computing, 2020, ISSN 0960-3174
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11222-020-09949-3

Deep stable neural networks: Large-width asymptotics and convergence rates

Author(s): Stefano Favaro; Sandra Fortini; Stefano Peluchetti
Published in: Bernoulli, 2023, ISSN 1350-7265
Publisher: Chapman & Hall
DOI: 10.3150/22-bej1553

Learning-augmented count-min sketches via Bayesian nonparametrics

Author(s): Emanuele Dolera; Stefano Favaro; Stefano Peluchetti
Published in: Journal of Machine Learning Research, 2023, ISSN 1532-4435
Publisher: MIT Press
DOI: 10.48550/arxiv.2102.04462

Rates of convergence in de Finetti’s representation theorem, and Hausdorff moment problem

Author(s): Emanuele Dolera, Stefano Favaro
Published in: Bernoulli, Issue 26/2, 2020, Page(s) 1294-1322, ISSN 1350-7265
Publisher: Chapman & Hall
DOI: 10.3150/19-bej1156

Contaminated Gibbs-Type Priors

Author(s): Camerlenghi, Federico; Corradin, Riccardo; Ongaro, Andrea
Published in: Bayesian Analysis, 2023, ISSN 1936-0975
Publisher: Carnegie Mellon University
DOI: 10.1214/22-ba1358

Doubly infinite residual neural networks: a diffusion process approach

Author(s): Stefano Peluchetti, Stefano Favaro
Published in: Journal of Machine Learning Research, Issue 22, 2021, Page(s) 1-48, ISSN 1533-7928
Publisher: MIT Press

Near-optimal estimation of the unseen under regularly varying tail populations

Author(s): Favaro, Stefano; Naulet, Zacharie
Published in: Bernoulli, 2023, ISSN 1350-7265
Publisher: Chapman & Hall
DOI: 10.3150/23-bej1589

Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis

Author(s): Boyu Ren, Sergio Bacallado, Stefano Favaro, Tommi Vatanen, Curtis Huttenhower, Lorenzo Trippa
Published in: The Annals of Applied Statistics, Issue 14/1, 2020, Page(s) 494-517, ISSN 1932-6157
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/19-aoas1295

Asymptotic Efficiency of Point Estimators in Bayesian Predictive Inference

Author(s): Emanuele Dolera
Published in: Mathematics, Issue 4, 2022, ISSN 2227-7390
Publisher: MDPI
DOI: 10.3390/math10071136

Conformal frequency estimation using discrete sketched data with coverage for distinct queries

Author(s): Matteo Sesia, Stefano Favaro, Edgar Dobriban
Published in: Journal of Machine Learning Research, 2023, ISSN 1532-4435
Publisher: MIT Press

Consistent estimation of small masses in feature sampling

Author(s): Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro
Published in: Journal of Machine Learning Research, Issue 22, 2021, ISSN 1533-7928
Publisher: MIT press

Approximating Predictive Probabilities of Gibbs-Type Priors

Author(s): Julyan Arbel, Stefano Favaro
Published in: Sankhya A, 2020, ISSN 0976-836X
Publisher: Indian Statistical Institute
DOI: 10.1007/s13171-019-00187-y

A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering

Author(s): Balocchi, Cecilia; Camerlenghi, Federico; Favaro, Stefano
Published in: Bayesian Analysis, 2023, ISSN 1936-0975
Publisher: Carnegie Mellon University
DOI: 10.48550/arxiv.2203.07342

Optimal disclosure risk assessment

Author(s): Federico Camerlenghi, Stefano Favaro, Zacharie Naulet, Francesca Panero
Published in: The Annals of Statistics, 2020, ISSN 0090-5364
Publisher: Institute of Mathematical Statistics

On uniform continuity of posterior distributions

Author(s): Emanuele Dolera, Edoardo Mainini
Published in: Statistics & Probability Letters, Issue 157, 2020, Page(s) 108627, ISSN 0167-7152
Publisher: Elsevier BV
DOI: 10.1016/j.spl.2019.108627

Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation

Author(s): Federico Camerlenghi; Stefano Favaro; Lorenzo Masoero; Tamara Broderick
Published in: Journal of the American Statistical Association, 2024, ISSN 0162-1459
Publisher: American Statistical Association

Crime in Philadelphia: Bayesian Clustering with Particle Optimization

Author(s): Cecilia Balocchi; Sameer K. Deshpande; Edward I. George; Shane T. Jensen
Published in: Journal of the American Statistical Association, 2023, ISSN 0162-1459
Publisher: American Statistical Association
DOI: 10.1080/01621459.2022.2156348

Strong posterior contraction rates via Wasserstein dynamics

Author(s): Dolera, Emanuele; Favaro, Stefano; Mainini, Edoardo
Published in: Probability Theory and Related Field, Issue 4, 2023, ISSN 0178-8051
Publisher: Springer Verlag

More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics

Author(s): Lorenzo Masoero, Federico Camerlenghi, Stefano Favaro, Tamara Broderick
Published in: Biometrika, 2021, ISSN 0006-3444
Publisher: Oxford University Press
DOI: 10.1093/biomet/asab012

A Berry–Esseen theorem for Pitman’s $\alpha $-diversity

Author(s): Emanuele Dolera, Stefano Favaro
Published in: Annals of Applied Probability, Issue 30/2, 2020, Page(s) 847-869, ISSN 1050-5164
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/19-aap1518

Perfect Sampling of the Posterior in the Hierarchical Pitman–Yor Process

Author(s): Sergio Bacallado, Stefano Favaro, Samuel Power, Lorenzo Trippa
Published in: Bayesian Analysis, Issue -1/-1, 2021, ISSN 1936-0975
Publisher: Carnegie Mellon University
DOI: 10.1214/21-ba1269

Other (6)

Wasserstein posterior contraction rates in non-dominated Bayesian nonparametric models

Author(s): Camerlenghi, Federico; Dolera, Emanuele; Favaro, Stefano; Mainini, Edoardo
Published in: 2023
Publisher: Preprint arXiv
DOI: 10.48550/arxiv.2201.12225

Transform-scaled process priors for trait allocations in Bayesian nonparametrics

Author(s): Beraha, Mario; Favaro, Stefano
Published in: 2023
Publisher: Preprint arXiv
DOI: 10.48550/arxiv.2303.17844

"Bayesian nonparametric inference for ""species-sampling"" problems"

Author(s): Cecilia Balocchi, Stefano Favaro, Zacharie Naulet
Published in: 2023
Publisher: Preprint arXiv

Random measure priors in Bayesian frequency recovery from sketches

Author(s): Beraha, Mario; Favaro, Stefano
Published in: 2023
Publisher: Preprint arXiv
DOI: 10.48550/arxiv.2303.15029

Optimal estimation of high-order missing masses, and the rare-type match problem

Author(s): Favaro, Stefano; Naulet, Zacharie
Published in: 2023
Publisher: Preprint arXiv
DOI: 10.48550/arxiv.2306.14998

Frequency and cardinality recovery from sketched data: a novel approach bridging Bayesian and frequentist views

Author(s): Mario Beraha, Stefano Favaro, Matteo Sesia
Published in: 2023
Publisher: Preprint arXiv

Conference proceedings (4)

A Bayesian nonparametric approach to count-min sketch under power-law data streams

Author(s): Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
Published in: Proceedings of the Twenty Fourth International Conference on Artificial Intelligence and Statistics, Issue 130, 2021, Page(s) 226-234, ISSN 2640-3498
Publisher: MIT Press

Infinitely deep neural networks as diffusion processes

Author(s): Stefano Peluchetti, Stefano Favaro
Published in: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, Issue 108, 2020, Page(s) 1126-1136
Publisher: MIT Press

Stable behaviour of infinitely wide deep neural networks

Author(s): Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Published in: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, Issue 108, 2020, Page(s) 1137-1146
Publisher: MIT Press

Large-width functional asymptotics for deep Gaussian neural networks

Author(s): Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Published in: International Conference on Learning Representations, Issue 9, 2021, Page(s) 1-10
Publisher: OpenReview