6 papers
Deconvolution in unlinked linear models
Fadoua Balabdaoui, Antonio Di Noia, Cécile Durot
Unlinked regression, in which covariates and responses are observed separately without known correspondence, has recently gained increasing attention. Deconvolution, on the other h…
A general framework for adaptive nonparametric dimensionality reduction
Antonio Di Noia, Federico Ravenda, Antonietta Mira
Dimensionality reduction is a fundamental task in modern data science. Several projection methods specifically tailored to take into account the non-linearity of the data via local…
Asymptotic theory for nonparametric testing of -monotonicity in discrete distributions
Fadoua Balabdaoui, Antonio Di Noia
In shape-constrained nonparametric inference, it is often necessary to perform preliminary tests to verify whether a probability mass function (p.m.f.) satisfies qualitative constr…
Likelihood distortion and Bayesian local robustness
Antonio Di Noia, Fabrizio Ruggeri, Antonietta Mira
Robust Bayesian analysis has been mainly devoted to detecting and measuring robustness w.r.t. the prior distribution. Many contributions in the literature aim to define suitable cl…
Scale adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
Antonio Di Noia, Iuri Macocco, Aldo Glielmo +2
The Intrinsic Dimension (ID) is a key concept in unsupervised learning and feature selection, as it is a lower bound to the number of variables which are necessary to describe a sy…
Estimation and goodness-of-fit testing for non-negative random variables with explicit Laplace transform
Lucio Barabesi, Antonio Di Noia, Marzia Marcheselli +2
Many flexible families of positive random variables exhibit non-closed forms of the density and distribution functions and this feature is considered unappealing for modelling purp…