bdm::PF Class Reference
Trivial particle filter with proposal density equal to parameter evolution model. More...
#include <particles.h>
Detailed Description
Trivial particle filter with proposal density equal to parameter evolution model.
Posterior density is represented by a weighted empirical density (eEmp
).
Member Enumeration Documentation
Member Function Documentation
void bdm::PF::from_setting | ( | const Setting & | set | ) | [inline] |
configuration structure for basic PF
particle = bdm::BootstrapParticle; % one bayes rule for each point in the empirical support - or - = bdm::MarginalizedParticle; % (in case of Marginalized Particle filtering prior = epdf_class; % prior probability density on the empirical variable --- optional --- n = 10; % number of particles resmethod = 'systematic', or 'multinomial', or 'stratified' % resampling method res_threshold = 0.5; % resample when active particles drop below 50%
References bdm::BM::dimc, bdm::BM::dimy, bdm::shared_ptr< T >::get(), bdm::UI::get(), particles, resmethod_from_set(), bdm::BM::set_rv(), w, and bdm::BM::yrv.
Member Data Documentation
The documentation for this class was generated from the following files:
- particles.h
- particles.cpp
Generated on Fri Aug 27 16:54:41 2010 for mixpp by
