ON SOME TIME-NON-HOMOGENEOUS LINEAR DIFFUSION PROCESSES AND RELATED BRIDGES dedicated to the memory of our “Maestro” Professor Luigi M …

A Buonocore, L Caputo, AG Nobile… - Scientiae Mathematicae …, 2013 - jstage.jst.go.jp
In this paper we analyze the dynamics of the diffusion bridges (or tieddown diffusion
processes), derived from time-non-homogeneous linear diffusion processes. For the …

[PDF][PDF] Threshold shape corresponding to a Gamma firing distribution in an Ornstein-Uhlenbeck neuronal model

L Sacerdote, C Zucca - Scientiae Mathematicae Japonicae, 2003 - jams.jp
зиж иК We introduce two numerical methods to determine the shape of a time dependent
boundary for the Ornstein-Uhlenbeck process that corresponds to an assigned first passage …

Asymptotic of the running maximum distribution of a Gaussian Bridge

M Abundo - Stochastic Analysis and Applications, 2023 - Taylor & Francis
Full article: Asymptotic of the running maximum distribution of a Gaussian Bridge Skip to Main
Content Taylor and Francis Online homepage Taylor and Francis Online homepage Log in …

On the simulation of a special class of time-inhomogeneous diffusion processes

V Giorno, AG Nobile - Mathematics, 2021 - mdpi.com
General methods to simulate probability density functions and first passage time densities
are provided for time-inhomogeneous stochastic diffusion processes obtained via a …

Spécifications et développements formels: Etude des aspects compositionnels dans la méthode B

ML Potet - 2002 - theses.hal.science
A ce jour, les méthodes formelles ont montré qu'elles étaient applicables avec succès au
développement de logiciels industriels. Pour maîtriser la complexité croissante de ces …

Generating random variates from PDF of Gauss–Markov processes with a reflecting boundary

A Buonocore, AG Nobile, E Pirozzi - Computational Statistics & Data …, 2018 - Elsevier
Algorithms to generate random variates from probability density function of Gauss–Markov
processes restricted by special lower reflecting boundary are formulated. They are …

A Review of Stochastic Models of Neuronal Dynamics: From a Single Neuron to Networks

MF Carfora - International Symposium on Mathematical and …, 2022 - Springer
After giving some background on neuron physiology, the classical (deterministic) models for
the generation of action potentials are briefly introduced and their limitations discussed, so …

A Haar-like construction for the Ornstein Uhlenbeck process

T Taillefumier, MO Magnasco - Journal of Statistical Physics, 2008 - Springer
The classical Haar construction of Brownian motion uses a binary tree of triangular wedge-
shaped functions. This basis has compactness properties which make it especially suited for …

Simulation of sample paths for Gauss-Markov processes in the presence of a reflecting boundary

A Buonocore, AG Nobile, E Pirozzi - Cogent Mathematics, 2017 - Taylor & Francis
Algorithms for the simulation of sample paths of Gauss–Markov processes, restricted from
below by particular time-dependent reflecting boundaries, are proposed. These algorithms …

Reconstruction of a persistent random walk from exit time distributions

PW Fok, Q Han, T Chou - The IMA Journal of Applied …, 2015 - academic.oup.com
In this paper, we study the inverse problem of reconstructing the spatially dependent
transition rate F (x) of a 1D Broadwell process from exit time distributions. In such a process …