1 citations · 2 across the 4 of their papers we have counts for
6 papers
Discrimination in machine learning algorithms
Roberta Pappadà, Francesco Pauli
Machine learning algorithms are routinely used for business decisions that may directly affect individuals, for example, because a credit scoring algorithm refuses them a loan. It…
pivmet: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Leonardo Egidi, Roberta Pappadà, Francesco Pauli +1
The identification of groups' prototypes, i.e. elements of a dataset that represent different groups of data points, may be relevant to the tasks of clustering, classification and…
Combining historical data and bookmakers'odds in modelling football scores
Leonardo Egidi, Francesco Pauli, Nicola Torelli
Modelling football outcomes has gained increasing attention, in large part due to the potential for making substantial profits. Despite the strong connection existing between footb…
Mixture Data-Dependent Priors
Leonardo Egidi, Francesco Pauli, Nicola Torelli
We propose a two-component mixture of a noninformative (diffuse) and an informative prior distribution, weighted through the data in such a way to prefer the first component if a p…
Maxima Units Search (MUS) algorithm: methodology and applications
Leonardo Egidi, Roberta Pappadà, Francesco Pauli +1
An algorithm for extracting identity submatrices of small rank and pivotal units from large and sparse matrices is proposed. The procedure has already been satisfactorily applied f…
Relabelling in Bayesian mixture models by pivotal units
Leonardo Egidi, Roberta Pappadà, Francesco Pauli +1
In this paper a simple procedure to deal with label switching when exploring complex posterior distributions by MCMC algorithms is proposed. Although it cannot be generalized to an…