Sökning: "non-Gaussian model"
Visar resultat 11 - 15 av 28 avhandlingar innehållade orden non-Gaussian model.
11. Stochastic Models Involving Second Order Lévy Motions
Sammanfattning : This thesis is based on five papers (A-E) treating estimation methods for unbounded densities, random fields generated by Lévy processes, behavior of Lévy processes at level crossings, and a Markov random field mixtures of multivariate Gaussian fields. In Paper A we propose an estimator of the location parameter for a density that is unbounded at the mode. LÄS MER
12. Sequential Monte Carlo Filters and Integrated Navigation
Sammanfattning : In this thesis we consider recursive Bayesian estimation in general, and sequential Monte Carlo filters in particular, applied to integrated navigation. Based on a large number of simulations of the model, the sequential Monte Carlo filter, also referred to as particle filter, provides an empirical estimate of the full posterior probability density of the system. LÄS MER
13. Ice Storm Modelling in Transmission System Reliability Calculations
Sammanfattning : In this thesis a new technique of modelling non-dimensioning severe weather for power system reliability calculations is developed. The model is suitable for both transmission and distribution networks and is based on geographically moving winds and ice storms. LÄS MER
14. Finite-time non-equilibrium thermodynamics of a colloidal particle
Sammanfattning : In this thesis we have thermodynamically characterized finite time processes performed on a colloidal particle, kept in contact with thermal reservoir(s). Thermodynamic processes are implemented on the colloidal particle by systematically changing the confining potential in a time dependent way, according to an external driving protocol or by controlling the environmental conditions over a finite duration. LÄS MER
15. Rao-Blackwellised particle methods for inference and identification
Sammanfattning : We consider the two related problems of state inference in nonlinear dynamical systems and nonlinear system identification. More precisely, based on noisy observations from some (in general) nonlinear and/or non-Gaussian dynamical system, we seek to estimate the system state as well as possible unknown static parameters of the system. LÄS MER