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20112026
most citedRational approximations of spectral densities based on the Alpha divergence

46 citations · 72 across the 45 of their papers we have counts for

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Showing 2015Show all

7 papers · 1 filter

math.OC2015

Sparse plus Low rank Network Identification: A Nonparametric Approach

Mattia Zorzi, Alessandro Chiuso

Modeling and identification of high-dimensional stochastic processes is ubiquitous in many fields. In particular, there is a growing interest in modeling stochastic processes with…

math.OC2015

Robust Kalman Filtering under Model Perturbations

Mattia Zorzi

We consider a family of divergence-based minimax approaches to perform robust filtering. The mismodeling budget, or tolerance, is specified at each time increment of the model. Mor…

math.OC2015

On the Robustness of the Bayes and Wiener Estimators under Model Uncertainty

Mattia Zorzi

This paper deals with the robust estimation problem of a signal given noisy observations. We assume that the actual statistics of the signal and observations belong to a ball about…

cs.LG2015★ 3 cited

Sparse plus low-rank autoregressive identification in neuroimaging time series

Raphaël Liégeois, Bamdev Mishra, Mattia Zorzi +1

This paper considers the problem of identifying multivariate autoregressive (AR) sparse plus low-rank graphical models. Based on the corresponding problem formulation recently pres…

math.OC2015★ 1 cited

A New Recursive Least-Squares Method with Multiple Forgetting Schemes

Francesco Fraccaroli, Andrea Peruffo, Mattia Zorzi

We propose a recursive least-squares method with multiple forgetting schemes to track time-varying model parameters which change with different rates. Our approach hinges on the re…

math.OC2015

A Bayesian Approach to Sparse plus Low rank Network Identification

Mattia Zorzi, Alessandro Chiuso

We consider the problem of modeling multivariate time series with parsimonious dynamical models which can be represented as sparse dynamic Bayesian networks with few latent nodes.…

math.OC2015

On the convergence of a Risk Sensitive like Filter

Mattia Zorzi, Bernard C. Levy

In this paper, we analyze the convergence of a risk sensitive like filter where the risk sensitivity parameter is time varying. Such filter has a Kalman like structure and its gain…