Sandra Fortini
Research interests
Asymptotic properties of Bayesian and Maching Learning procedures. Predictive inference. Bayesian Nonparametric models.
Selected Publications
Approximating the Operating Characteristics of Bayesian Uncertainty Directed Trial Designs
Journal of Statistical Planning and Inference, 2021Predictive Constructions Based on Measure-Valued Pólya Urn Processes (2022)
Mathematics 2021, 9(22), 2845, 2022Infinite-channel deep convolutional Stable neural networks
Bayesian Deep Learning NeurIPS workshop, 2021Large-width functional asymptotics for deep Gaussian neural networks
International Conference on Learning Representations, 2021, 2021Stable behaviour of infinitely wide deep neural networks
Proceedings of Machine Learning Research. Volume 108: International Conference on Artificial Intelligence and Statistics, 2020Quasi‐Bayes properties of a procedure for sequential learning in mixture models
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B STATISTICAL METHODOLOGY, 2020On a notion of partially conditionally identically distributed sequences
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2017Approximating the operating characteristics of Bayesian Uncertainty directed trial Designs
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2022Central Limit Theorem with Exchangeable Summands and Mixtures of Stable Laws as Limits
BOLLETTINO DELLA UNIONE MATEMATICA ITALIANA, 2012Predictive construction of priors in Bayesian nonparametrics
REVISTA BRASILEIRA DE PROBABILIDADE E ESTATÍSTICA, 2012Recursive equations for the predictive distributions of some determinantal processes
STATISTICS & PROBABILITY LETTERS, 2011Teaching
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