Bibliografi : hlm. 215
Bibliografi : hlm. 223
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 …
No Inv.: 138734/P/Perp/14/1c
Bibliografi : hlm. 163-164 No Inv.: 137873-137877/P/Perp/14/5c
No. Inv. : 146130-146131/P/Perp/15/2c
No Inv.: 134662/SM/Perp/13/1c
Bibliografi : hlm.239-248 No Inv.: 135528,135639/SM/Perp/13/2c
Bibliografi : hlm. 191
Bibliografi : hlm. 163 No Inv.: 137522-137526/P/Perp/14/5c