This volume presents, for the very first time, an exhaustive collection of those modern numerical methods specifically tailored for the analysis of Strongly Correlated Systems. Many novel materials, with functional properties emerging from macroscopic quantum behaviors at the frontier of modern research in physics, chemistry and material science, belong to this class of systems. Any technique i…
Cristina Davino is an associate professor of Statistics at the University of Macerata, Italy, and a member of the Doctoral Committee for the Ph.D. in Statistics at the University of Naples Federico II. Her research fields include: multidimensional data analysis, data mining (neural networks, association rules), quantile regression, statistical surveys, sensitivity analysis of composite indicato…
No Inv.: 111354-111357/P/Perp/07/4c
Bibliografi : hlm. 314-316
No Inv.: 87116-87119/P/Perp/03/4c~90685-906687/P/Perp/04/3c
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 …
Bibliografi : hlm. 245-255 No Inv.: 108568-108572/P/Perp/06/5c109345/S/Perp/07/1c~145117/SM/Perp/14/1c
Bibliografi : hlm. 249-252