Stefano Favaro

发表

Discussions of the paper "Sparse graphs using exchangeable random measures" by F. Caron and E. B. Fox

Julyan Arbel, Marco Battiston, Stefano Favaro, 2017 .

Correction to “A New Estimator of the Discovery Probability”

Stefano Favaro, Antonio Lijoi, Igor Pruenster, 2013 .

Bayesian Inference on Population Structure: From Parametric to Nonparametric Modeling

Yee Whye Teh, Maria De Iorio, Stefano Favaro, 2015 .

Neural Stochastic Differential Equations pdf

Stefano Favaro, Stefano Peluchetti, S. Favaro, 2019, ArXiv.

Bayesian nonparametric inference on rare species variety

Stefano Favaro, Antonio Lijoi, Igor Pruenster, 2010 .

Posterior analysis of rare variants in Gibbs-type species sampling models

Stefano Favaro, Bernardo Nipoti, Oriana Cesari, 2014, J. Multivar. Anal..

Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process?

Matteo Ruggiero, Stefano Favaro, Antonio Lijoi, 2015, IEEE transactions on pattern analysis and machine intelligence.

Discussion of “On simulation and properties of the stable law” by L. Devroye and L. James

Stefano Favaro, Bernardo Nipoti, S. Favaro, 2014, Statistical Methods & Applications.

Rediscovery of Good–Turing estimators via Bayesian nonparametrics

Yee Whye Teh, Stefano Favaro, Bernardo Nipoti, 2014, Biometrics.

A hybrid sampler for Poisson-Kingman mixture models

Yee Whye Teh, Stefano Favaro, Maria Lomeli, 2015, NIPS.

On a class of $$\sigma $$σ-stable Poisson–Kingman models and an effective marginalized sampler

Yee Whye Teh, Stefano Favaro, Maria Lomeli, 2015, Stat. Comput..

Dependent generalized Dirichlet process priors for the analysis of acute lymphoblastic leukemia.

Stefano Favaro, Maria De Iorio, Gary L Rosner, 2018, Biostatistics.

Consistent estimation of small masses in feature sampling

Marco Battiston, Stefano Favaro, Federico Camerlenghi, 2021, J. Mach. Learn. Res..

Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation

Tamara Broderick, Stefano Favaro, Lorenzo Masoero, 2021 .

Large-width functional asymptotics for deep Gaussian neural networks pdf

Stefano Favaro, Stefano Peluchetti, Sandra Fortini, 2021, ICLR.

Learning-augmented count-min sketches via Bayesian nonparametrics pdf

Stefano Favaro, Stefano Peluchetti, Emanuele Dolera, 2021, ArXiv.

The power of private likelihood-ratio tests for goodness-of-fit in frequency tables

Stefano Favaro, Emanuele Dolera, 2021 .

Infinite-channel deep stable convolutional neural networks pdf

Stefano Favaro, Stefano Peluchetti, Sandra Fortini, 2021, ArXiv.

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

Stefano Favaro, Zacharie Naulet, 2021 .

Deep Stable neural networks: large-width asymptotics and convergence rates pdf

Stefano Favaro, Stefano Peluchetti, Sandra Fortini, 2021, ArXiv.

On consistent and rate optimal estimation of the missing mass

Marco Battiston, Stefano Favaro, Federico Camerlenghi, 2021, Annales de l'Institut Henri Poincaré, Probabilités et Statistiques.

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

Stefano Favaro, Stefano Peluchetti, Emanuele Dolera, 2021, AISTATS.

On a Class of Random Probability Measures with General Predictive Structure

Stephen G. Walker, Stefano Favaro, Igor Prünster, 2011 .

Alpha-diversity processes and normalized inverse-Gaussian diffusions.

Stephen G. Walker, Matteo Ruggiero, Stefano Favaro, 2013, 1302.3000.

On a Generalized Chu–Vandermonde Identity

Stephen G. Walker, Stefano Favaro, Igor Prünster, 2012 .

A new estimator of the discovery probability.

Stefano Favaro, Antonio Lijoi, Igor Prünster, 2012, Biometrics.

On the stick-breaking representation of σ-stable Poisson-Kingman models

Stefano Favaro, Maria Lomeli, S. Favaro, 2014 .

On the Distribution of Sums of Independent Exponential Random Variables Via Wilks’ Integral Representation

Stephen G. Walker, Stefano Favaro, S. Walker, 2010 .

On the stick-breaking representation of $\sigma$-stable Poisson-Kingman models

Yee Whye Teh, Stefano Favaro, Maria Lomeli, 2014 .

Slice Sampling σ-Stable Poisson-Kingman Mixture Models

Stephen G. Walker, Stefano Favaro, S. Walker, 2013 .

Bayesian nonparametric analysis of reversible Markov chains

Lorenzo Trippa, Stefano Favaro, Sergio Bacallado, 2013, 1306.1318.

A Marginal Sampler for σ-Stable Poisson–Kingman Mixture Models

Yee Whye Teh, Stefano Favaro, Y. Teh, 2014, 1407.4211.