Articolo in rivista

Over-relaxation methods and coupled Markov chains for Monte Carlo simulation

New solutions of the Ermakov-Pinney equation in curved spacetime

An Ermakov-Pinney-like equation associated with the scalar wave equation in curved space-time is here studied. The example of Schwarzschild space-time considered in the present work shows that this equation can be viewed more as a "model equation," with interesting applications in black hole…

Sample path large deviations for order statistics

Polymer dynamics in wall turbulent flow

Signed radon measure-valued solutions of flux saturated scalar conservation laws

We prove existence and uniqueness for a class of signed Radon measure-valued entropy solutions of the Cauchy problem for a first order scalar hyperbolic conservation law in one space dimension. The initial data of the problem is a finite superposition of Dirac masses, whereas the flux is Lipschitz…

Complex Adaptive services

The duality between service providers and services consumers is a basic pattern of service oriented computing. A service oriented approach to business processes and to adaptive interacting processes requires an additional pattern based on the, possibly online, interaction between specification,…

Fundamental diagrams in traffic flow: the case of heterogeneous kinetic models

Experimental studies on vehicular traffic provide data on quantities like density, flux, and mean speed of the vehicles. However, the diagrams relating these variables (the fundamental and \emph{speed} diagrams) show some peculiarities not yet fully reproduced nor explained by mathematical models.…

Wavelet Regression Estimation in Nonparametric Mixed Effect Models

We show that a nonparametric estimator of a regression function, obtained as solution of a specific regularization problem is the bestlinear unbiased predictor in some nonparametric mixed effect model. Since this estimator is intractable from a numerical point of view, we propose a tight…

BiCoN: Network-constrained biclustering of patients and omics data

Unsupervised learning approaches are frequently employed to stratify patients into clinically relevant subgroups and to identify biomarkers such as disease-associated genes. However, clustering and biclustering techniques are oblivious to the functional relationship of genes and are thus not…

A fast computation method for time scale signal denoising