Enrico Bibbona
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The Ornstein–Uhlenbeck process as a model of a low pass filtered white noise
E Bibbona, G Panfilo, P Tavella
Metrologia 45 (6), S117, 2008
Analysis of Petri net models through stochastic differential equations
M Beccuti, E Bibbona, A Horvath, R Sirovich, A Angius, G Balbo
International Conference on Applications and Theory of Petri Nets andá…, 2014
Estimating input parameters from intracellular recordings in the Feller neuronal model
E Bibbona, P Lansky, R Sirovich
Physical Review E 81 (3), 031916, 2010
Approximate analysis of biological systems by hybrid switching jump diffusion
A Angius, G Balbo, M Beccuti, E Bibbona, A Horvath, R Sirovich
Theoretical Computer Science 587, 49-72, 2015
Higher moments and prediction‐based estimation for the COGARCH (1, 1) model
E Bibbona, I Negri
Scandinavian Journal of Statistics 42 (4), 891-910, 2015
Estimation in discretely observed diffusions killed at a threshold
E Bibbona, S Ditlevsen
Scandinavian Journal of Statistics 40 (2), 274-293, 2013
Errors in estimation of the input signal for integrate-and-fire neuronal models
E Bibbona, P Lansky, L Sacerdote, R Sirovich
Physical Review E 78 (1), 011918, 2008
Gauge-natural parameterized variational problems, vakonomic field theories and relativistic hydrodynamics of a charged fluid
E Bibbona, L Fatibene, M Francaviglia
International Journal of Geometric Methods in Modern Physics 3 (8), 2006
A review of the deterministic and diffusion approximations for stochastic chemical reaction networks
P Mozgunov, M Beccuti, A Horvath, T Jaki, R Sirovich, E Bibbona
Reaction Kinetics, Mechanisms and Catalysis 123 (2), 289-312, 2018
A statistical approach to determine the autoignition temperature of dust clouds
E Danzi, E Bibbona, A Di Benedetto, R Sanchirico, V Di Sarli, L Marmo
Journal of loss prevention in the process industries 56, 181-190, 2018
Asymptotic distributions of kappa statistics and their differences with many raters, many rating categories and two conditions
L Grassano, G Pagana, M Daperno, E Bibbona, M Gasparini
Biometrical Journal 60 (1), 146-154, 2018
A copula-based method to build diffusion models with prescribed marginal and serial dependence
E Bibbona, L Sacerdote, E Torre
Methodology and computing in applied probability 18 (3), 765-783, 2016
Chetaev versus vakonomic prescriptions in constrained field theories with parametrized variational calculus
E Bibbona, L Fatibene, M Francaviglia
Journal of mathematical physics 48, 032903, 2007
Stationary distributions of systems with discreteness-induced transitions
E Bibbona, J Kim, C Wiuf
Journal of The Royal Society Interface 17 (168), 20200243, 2020
Strong approximation of density dependent Markov chains on bounded domains
E Bibbona, R Sirovich
arXiv preprint arXiv:1704.07481, 2017
The Relative Energy of Homogeneous and Isotropic Universes from Variational Principles
E Bibbona, L Fatibene, M Francaviglia
International Journal of Geometric Methods in Modern Physics 6 (7), 1193-1205, 2009
New formulation of the logistic-Gaussian process to analyze trajectory tracking data
G Mastrantonio, C Grazian, S Mancinelli, E Bibbona
The Annals of Applied Statistics 13 (4), 2483-2508, 2019
Analysis of timed properties using the jump-diffusion approximation
P Ballarini, M Beccuti, E Bibbona, A Horvath, R Sirovich, J Sproston
European Workshop on Performance Engineering, 69-84, 2017
The empirical identity process: Asymptotics and applications
E Bibbona, G Pistone, M Gasparini
Canadian Journal of Statistics 46 (4), 656-672, 2018
Stochastic chemical kinetics. theory and (mostly) systems biological applications, p. erdi, g. lente. springer (2014)
E Bibbona
arXiv preprint arXiv:1411.0573, 2014
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