The study of stochastic processes is commonly carried out by employing transition distribution functions and related statistics. An alternative approach is proposed here, based on copula functions and allowing to isolate the dependence structure from the marginal behaviour. Models for neuronal membrane potential evolution are revised accordingly.
Copule per Processi Diffusivi con Applicazioni ai Modelli Neuronali
TORRE, EMILIANO
2010/2011
Abstract
The study of stochastic processes is commonly carried out by employing transition distribution functions and related statistics. An alternative approach is proposed here, based on copula functions and allowing to isolate the dependence structure from the marginal behaviour. Models for neuronal membrane potential evolution are revised accordingly.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
306358_emilianotorre_thesis.pdf
non disponibili
Tipologia:
Altro materiale allegato
Dimensione
3.9 MB
Formato
Adobe PDF
|
3.9 MB | Adobe PDF |
I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14240/18546