Some novel Monte Carlo algorithms for challenging inference problems
This work consists of two separate parts. In the first part we extend the work on exact simulation of diffusions introduced in [9]. The authors in that paper introduced a methodology for simulating a diffusion process and for performing parametric inference for a partially observed diffusion. In par...
Main Author: | Marshall, Tristan Roy Gray |
---|---|
Published: |
Lancaster University
2009
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556695 |
Similar Items
-
On the analysis of Monte Carlo and quasi-Monte Carlo methods
by: Dickinson, Andrew Samuel
Published: (2004) -
Using the autocorrelation time and auto-validating methods to improve the performance of Monte Carlo algorithms
by: Everitt, Richard G.
Published: (2008) -
Applications of continuum quantum Monte Carlo methods
by: Leung, Wing-Kai
Published: (2001) -
Forecasting oil and gas reserves and production in the UK North Sea : a Monte Carlo approach
by: Hatami, Hossein
Published: (1996) -
Some extensions of the lilypond model and random walks with traps
by: Cotar, Codina
Published: (2004)