Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Finesso, Lorenzo"'
Autor:
Finesso, Lorenzo, Spreij, Peter
Publikováno v:
Journal of computational and applied mathematics 451, Article No. 116025, 2024
We pose the problem of the optimal approximation of a given nonnegative signal $y_t$ with the scalar autoconvolution $(x*x)_t$ of a nonnegative signal $x_t$, where $x_t$ and $y_t$ are signals of equal length. The $\mathcal{I}$-divergence has been ado
Externí odkaz:
http://arxiv.org/abs/2302.12644
Autor:
Finesso, Lorenzo, Spreij, Peter
Publikováno v:
In Journal of Computational and Applied Mathematics 1 December 2024 451
Autor:
Finesso, Lorenzo, Spreij, Peter
Publikováno v:
IEEE Transactions on Information Theory 40(6), 4081-4092, 2024
We pose the problem of approximating optimally a given nonnegative signal with the scalar autoconvolution of a nonnegative signal. The I-divergence is chosen as the optimality criterion being well suited to incorporate nonnegativity constraints. Afte
Externí odkaz:
http://arxiv.org/abs/2111.14430
Autor:
Finesso, Lorenzo, Spreij, Peter
Publikováno v:
Automatica 107, pp 1-8, 2019
We pose the approximation problem for scalar nonnegative input-output systems via impulse response convolutions of finite order, i.e. finite order moving averages, based on repeated observations of input/output signal pairs. The problem is converted
Externí odkaz:
http://arxiv.org/abs/1810.10135
Autor:
Ciccarese, Francesco, Grassi, Angela, Pasqualini, Lorenza, Rosano, Stefania, Noghero, Alessio, Montenegro, Francesca, Bussolino, Federico, Di Camillo, Barbara, Finesso, Lorenzo, Toffolo, Gianna Maria, Mitola, Stefania, Indraccolo, Stefano
Publikováno v:
In Computational and Structural Biotechnology Journal 2020 18:3977-3986
Autor:
Prosdocimi, Cecilia, Finesso, Lorenzo
Partially exchangeable sequences representable as mixtures of Markov chains are completely specified by de Finetti's mixing measure. The paper characterizes, in terms of a subclass of hidden Markov models, the partially exchangeable sequences with mi
Externí odkaz:
http://arxiv.org/abs/1306.5631
Autor:
Finesso, Lorenzo, Spreij, Peter
Publikováno v:
IEEE Transactions on Information Theory 61(8), 4399-4409 (2015)
We pose the deterministic, nonparametric, approximation problem for scalar nonnegative input/output systems via finite impulse response convolutions, based on repeated observations of input/output signal pairs. The problem is converted into a nonnega
Externí odkaz:
http://arxiv.org/abs/1306.0914
Autor:
Finesso, Lorenzo, Spreij, Peter
Publikováno v:
Psychometrika 81, 702-726 (2016)
Given a positive definite covariance matrix $\widehat \Sigma$, we strive to construct an optimal \emph{approximate} factor analysis model $HH^\top +D$, with $H$ having a prescribed number of columns and $D>0$ diagonal. The optimality criterion we min
Externí odkaz:
http://arxiv.org/abs/0812.1804
Autor:
Finesso, Lorenzo, Spreij, Peter
Publikováno v:
in Modeling, Estimation and Control, Festschrift in Honor of Giorgio Picci on the Occasion of his Sixty-Fifth Birthday (2007)
In this paper we make a first attempt at understanding how to build an optimal approximate normal factor analysis model. The criterion we have chosen to evaluate the distance between different models is the I-divergence between the corresponding norm
Externí odkaz:
http://arxiv.org/abs/0704.2208
Publikováno v:
Mathematics of Control, Signals and Systems 22(1), 1-22 (2010)
We aim at the construction of a Hidden Markov Model (HMM) of assigned complexity (number of states of the underlying Markov chain) which best approximates, in Kullback-Leibler divergence rate, a given stationary process. We establish, under mild cond
Externí odkaz:
http://arxiv.org/abs/math/0606591