Bibliografi : hlm. 212-213
No Inv.: 111354-111357/P/Perp/07/4c
Bibliografi : hlm. 314-316
Bibliografi : hlm. 223
No Inv.: 87116-87119/P/Perp/03/4c~90685-906687/P/Perp/04/3c
Judul asli : "How to Discipline with Love"
No Inv.: 110008/PSM/Perp/07/1c
This thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and forecasting from astrophysical observations. Bayesian model selection provides a measure of how good models in a set are relative to each other - but what if the best model is missing and not included in the set? Bayesian Doubt is an approach which …