mixpp: Class List

Class List

Here are the classes, structs, unions and interfaces with brief descriptions:
bdm::ARXLinear Autoregressive model with Gaussian noise
bdm::ARXfrgARX model conditined by knowledge of the forgetting factor

\[ f( heta| d_1 \ldots d_t , \phi_t) \]

bdm::ARXgNon-linear transformation + Gaussian noise
bdm::ARXlsARX moidel with parameters in LS form
bdm::ARXprodProduct of ARX models forming an ARX model with potentially reduced structure
bdm::BMBayesian Model of a system, i.e. all uncertainty is modeled by probabilities
bdm::BMEFEstimator for Exponential family
bdm::BootstrapParticleInternal class which is used in PF
bdm::EKF_UDEKF using bierman and Thorton code
bdm::EKFChExtended Kalman Filter in Square root
bdm::EKFCh_chQExtended Kalman filter in Choleski form with unknown Q
bdm::EKFCh_dQExtended Kalman filter in Choleski form with unknown diagonal Q
bdm::EKFful_unQRExtended Kalman filter with unknown Q and R
bdm::EKFfullExtended Kalman Filter in full matrices
bdm::Kalman< sq_T >Common abstract base for Kalman filters
bdm::KalmanChKalman filter in square root form
bdm::KalmanFullBasic Kalman filter with full matrices
bdm::MarginalizedParticleParticle with marginalized subspace, used in PF
bdm::MarginalizedParticleBaseAbstract class for Marginalized Particles
mexBM
bdm::MixEFMixture of Exponential Family Densities
bdm::ModelComparatorClass for on-line model selection
bdm::multiBMEstimator for Multinomial density
bdm::MultiModel(Switching) Multiple Model The model runs several models in parallel and evaluates thier weights (fittness)
bdm::NoiseParticle
bdm::NoiseParticleX
bdm::PFTrivial particle filter with proposal density equal to parameter evolution model
bdm::ProdBM
bdm::ProdBMBaseBase class for all BM running as parallel update of internal BMs
bdm::UKFCh

Generated on Fri Aug 27 16:54:39 2010 for mixpp by  doxygen 1.6.0