E Di Nardo, G D'Onofrio, T Martini - Communications in Nonlinear Science …, 2023 - Elsevier
This paper analyzes a method to approximate the first passage time probability density function which turns to be particularly useful if only sample data are available. The method …
N Ratanov - Mathematical Biosciences and Engineering, 2019 - researchgate.net
We develop a stochastic neural model based on point excitatory inputs. The nerve cell depolarisation is determined by a two-state point process corresponding the two states of …
This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov …
Abstract Analysis of rainfall data and subsequent modelling of the many variables concerning rainfall is fundamental to many areas such as agricultural, ecological and …
Symmetry properties of the Brownian motion and of some diffusion processes are useful to specify the probability density functions and the first passage time density through specific …
This book is the second volume of two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov …