Sökning: "bayesian-inference"
Visar resultat 11 - 15 av 80 avhandlingar innehållade ordet bayesian-inference.
11. Bayesian Inference with Unknown Noise Covariance
Sammanfattning : This thesis studies Bayesian methods in statistical signal processing. A central theme is that the treatment of the unknown noise covariance matrix is of chief concern for all scenarios. As a first application, the detection of land mines using infrared techniques is investigated. LÄS MER
12. Computational methods for Bayesian inference in macroeconomic models
Sammanfattning : The New Macroeconometrics may succinctly be described as the application of Bayesian analysis to the class of macroeconomic models called Dynamic Stochastic General Equilibrium (DSGE) models. A prominent local example from this research area is the development and estimation of the RAMSES model, the main macroeconomic model in use at Sveriges Riksbank. LÄS MER
13. Bayesian Inference in Structural Second-Price Auctions
Sammanfattning : The aim of this thesis is to develop efficient and practically useful Bayesian methods for statistical inference in structural second-price auctions. The models are applied to a carefully collected coin auction dataset with bids and auction-specific characteristics from one thousand Internet auctions on eBay. LÄS MER
14. Bayesian inference for high dimensional factor copula models
Sammanfattning : Copulas have been applied to many research areas as multivariate probability distributions for non-linear dependence structures. However, extending copula functions in high dimensions is challenging due to the increase of model parameters and computational intensity. LÄS MER
15. Bayesian Inference for Microwave Diagnostics at Joint European Torus
Sammanfattning : The major goal of this thesis is to perform Bayesian inference jointly for electron kinetic profiles, a toroidal magnetic field correction, diagnostic sensitivities, and wall reflection properties given noisy measurements of four microwave diagnostics at the tokamak JET. Besides the measurements, this kind of inference considers prior knowledge, like profile length-scales, to update objectively the information about the physics parameters. LÄS MER