Stochastic adaptation of importance sampler
Improving efficiency of the importance sampler is at the centre of research on Monte Carlo methods. While the adaptive approach is usually not so straightforward within the Markov chain Monte Carlo framework, the counterpart in importance sampling can be justified and validated easily. We propose an...
Main Author: | Lian, Heng |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Journal Article |
Language: | English |
Published: |
2013
|
Online Access: | https://hdl.handle.net/10356/95724 http://hdl.handle.net/10220/11998 |
Similar Items
-
Corky trinidad sampler
Published: (2008) -
PDDLStream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning
by: Garrett, Caelan Reed, et al.
Published: (2021) -
Slice sampler algorithm for generalized pareto distribution
by: Rostami, Mohammad, et al.
Published: (2018) -
Gibbs sampler approval to biomedical data problem analysis
by: Chin, Siew Hoo.
Published: (2008) -
Can polyethylene passive samplers be used to measure infiltration?
by: Raguenez, Tanguy
Published: (2017)