The main results in this paper concern large deviations for families of non-Gaussian processes obtained as suitable perturbations of continuous centered multivariate Gaussian processes which satisfy a large deviation principle. We present some corollaries and, as a consequence, we obtain logarithmic asymptotic estimates for exit probabilities from suitable halfspaces and quadrants.

Macci, C., Pacchiarotti, B. (2024). Large deviations for perturbed Gaussian processes and logarithmic asymptotic estimates for some exit probabilities. THEORY OF PROBABILITY AND MATHEMATICAL STATISTICS, 111, 21-43 [10.1090/tpms/1216].

Large deviations for perturbed Gaussian processes and logarithmic asymptotic estimates for some exit probabilities

Macci C.;Pacchiarotti B.
2024-01-01

Abstract

The main results in this paper concern large deviations for families of non-Gaussian processes obtained as suitable perturbations of continuous centered multivariate Gaussian processes which satisfy a large deviation principle. We present some corollaries and, as a consequence, we obtain logarithmic asymptotic estimates for exit probabilities from suitable halfspaces and quadrants.
2024
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MATH-03/B - Probabilità e statistica matematica
English
Con Impact Factor ISI
Lagrange multipliers method; most likely path leading to exit; reproducing kernel Hilbert space; supermodular order
Macci, C., Pacchiarotti, B. (2024). Large deviations for perturbed Gaussian processes and logarithmic asymptotic estimates for some exit probabilities. THEORY OF PROBABILITY AND MATHEMATICAL STATISTICS, 111, 21-43 [10.1090/tpms/1216].
Macci, C; Pacchiarotti, B
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/389543
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