GIORDANO, Matteo

GIORDANO, Matteo  

SCIENZE ECONOMICO-SOCIALI E MATEMATICO-STATISTICHE  

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Risultati 1 - 15 di 15 (tempo di esecuzione: 0.032 secondi).
Titolo Data di pubblicazione Autore(i) File
A comparative analysis of machine learning algorithms for predicting probabilities of default 2025 Adrian Iulian Cristescu; Matteo Giordano
A discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu 2024 Catalano, Marta; Fasano, Augusto; Giordano, Matteo; Rebaudo, Giovanni
A discussion on: "Sparse Bayesian factor analysis when the number of factors is unknown" by Frühwirth-Schnatter, S., Hosszejni D., and Lopes, H. F. 2025 Marta Catalano, Beatrice Franzolini, Matteo Giordano, Giovanni Rebaudo
A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A. 2025 Catalano, Marta; Fasano, Augusto; Giordano, Matteo; Rebaudo, Giovanni
A reversible allelic partition process and Pitman sampling formula 2020 Giordano M.; De Blasi P.; Ruggiero M.
Asymptotic theory for Bayesian nonparametric inference in statistical models arising from partial differential equations 2021 Matteo Giordano
Bayesian Inference for Initial Heat States with Gaussian Series Priors 2025 Matteo Giordano
Bayesian Nonparametric Inference in Elliptic PDEs: Convergence Rates and Implementation 2025 Matteo Giordano
Bernstein--von Mises Theorems and Uncertainty Quantification for Linear Inverse Problems 2020 Matteo Giordano; Hanne Kekkonen
Besov-Laplace priors in density estimation: optimal posterior contraction rates and adaptation 2023 Giordano, Matteo
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem 2020 Giordano Matteo; Richard Nickl
Gaussian Process Methods for Covariate-Based Intensity Estimation 2025 Patric Dolmeta; Matteo Giordano
Nonparametric Bayesian inference for reversible multidimensional diffusions 2022 Giordano Matteo; Ray Kolyan
On the inability of Gaussian process regression to optimally learn compositional functions 2022 Matteo Giordano; Kolyan Ray; Johannes Schmidt-Hieber
Statistical algorithms for low-frequency diffusion data: A PDE approach 2025 Matteo Giordano; Sven Wang