In this thesis we present the research conducted during the three-year PhD program at the University of Genova, under the supervision of Professor Alberto Sorrentino. The PHD was primarily focused on inverse problems from a Bayesian perspective; this regarded both methodological advancements and a specific application domain: the Magneto-Elettro/EncephaloGraphy (M/EEG) inverse problem.
Hyper-parameter estimation with SMC samplers & application to Magneto/ElectroEncephaloGraphy: A journey through Bayesian inference
VIANI, ALESSANDRO
2024
Abstract
In this thesis we present the research conducted during the three-year PhD program at the University of Genova, under the supervision of Professor Alberto Sorrentino. The PHD was primarily focused on inverse problems from a Bayesian perspective; this regarded both methodological advancements and a specific application domain: the Magneto-Elettro/EncephaloGraphy (M/EEG) inverse problem.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
phdunige_4021953_1.pdf
accesso aperto
Dimensione
15.72 MB
Formato
Adobe PDF
|
15.72 MB | Adobe PDF | Visualizza/Apri |
|
phdunige_4021953_2.pdf
accesso aperto
Dimensione
7.96 MB
Formato
Adobe PDF
|
7.96 MB | Adobe PDF | Visualizza/Apri |
|
phdunige_4021953_3.pdf
accesso aperto
Dimensione
12.98 MB
Formato
Adobe PDF
|
12.98 MB | Adobe PDF | Visualizza/Apri |
|
phdunige_4021953_4.pdf
accesso aperto
Dimensione
17.69 MB
Formato
Adobe PDF
|
17.69 MB | Adobe PDF | Visualizza/Apri |
|
phdunige_4021953_5.pdf
accesso aperto
Dimensione
10.18 MB
Formato
Adobe PDF
|
10.18 MB | Adobe PDF | Visualizza/Apri |
|
phdunige_4021953_6.pdf
accesso aperto
Dimensione
13.78 MB
Formato
Adobe PDF
|
13.78 MB | Adobe PDF | Visualizza/Apri |
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/20.500.14242/67693
Il codice NBN di questa tesi è
URN:NBN:IT:UNIGE-67693