mixpp Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

bdm::ARX	Linear Autoregressive model with Gaussian noise
bdm::ARXAgent	ARX agent
bdm::ARXfrg	ARX model conditined by knowledge of the forgetting factor
bdm::ARXg	Non-linear transformation + Gaussian noise
bdm::ARXls	ARX moidel with parameters in LS form
bdm::ARXmaxent	ARX model with fixed maxent forgetting on increments,
bdm::ARXprod	Product of ARX models forming an ARX model with potentially reduced structure
bdm::ARXwin	ARX model with fixed-length window - old entries are removed
bdm::bilinfn	Class representing function
bdm::BM	Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities
bdm::BMEF	Estimator for Exponential family
bdm::BootstrapParticle	Internal class which is used in PF
bdm::chmat	Symmetric matrix stored in square root decomposition using upper cholesky
bdm::constfn	Class representing function , here rv is empty
bdm::Controller
bdm::CsvFileDS	CSV file data storage
bdm::datalink	DataLink is a connection between two data vectors Up and Down
bdm::datalink_2to1_buffered	Buffered datalink from 2 vectors to 1
bdm::datalink_buffered	Datalink that buffers delayed values - do not forget to call step()
bdm::datalink_m2e	Data link with a condition
bdm::datalink_m2m
bdm::datalink_part
bdm::diffbifn	Class representing a differentiable function of two variables
bdm::dirac	Dirac delta function distribution
bdm::dirfilelog	Logging into dirfile with buffer in memory
bdm::discrete_support	Discrete support with stored support points
bdm::DS	Abstract class for discrete-time sources of data
bdm::eBeta	Product of Beta distributions
bdm::eDirich	Dirichlet posterior density
bdm::eEF	Abstract class of general conjugate exponential family posterior density
bdm::egamma	Gamma posterior density
bdm::egauss	Gaussian (Normal) distribution. Same as enorm<fsqmat>
bdm::egiw	Gauss-inverse-Wishart density stored in LD form
bdm::egrid	Piecewise constant pdf on rectangular support
bdm::egw_ls< sq_T >	Gauss-Wishart with recursion on moments Using precision as parameter following notation of [Karny Andrysek 2009], precision
bdm::eigamma	Inverse-Gamma posterior density
bdm::EKF_UD	EKF using bierman and Thorton code
bdm::EKFCh	Extended Kalman Filter in Square root
bdm::EKFCh_chQ	Extended Kalman filter in Choleski form with unknown Q
bdm::EKFCh_dQ	Extended Kalman filter in Choleski form with unknown diagonal Q
bdm::EKFful_unQR	Extended Kalman filter with unknown Q and R
bdm::EKFfull	Extended Kalman Filter in full matrices
bdm::elognorm	Log-Normal probability density - it allows only diagonal covariances!
bdm::emix	Mixture of epdfs
bdm::emix_base	Base class (interface) for mixtures
bdm::enorm< sq_T >	Gaussian density with positive definite (decomposed) covariance matrix
bdm::ENormMerger< sq_T >	Merger into normal density, max entropy approximator for 2 moments (mean+variance)
bdm::epdf	Abstract class representing probability density function with numerical statistics, e.g. posterior density
bdm::EpdfDS	Simulate data from a static pdf (epdf)
bdm::eprod	Product of independent epdfs. For dependent pdfs, use bdm::mprod
bdm::eprod_base	Base class (interface) for bdm::eprod
bdm::eprod_internal	Internal class similar to eprod - factors are external pointers. To be used internally!
bdm::estudent< sq_T >
bdm::euni	Uniform distributed density on a rectangular support
bdm::FileDS	Pseudovirtual class for reading data from files
bdm::fnc	Class representing function of variable represented by rv
bdm::fsqmat	Fake sqmat. This class maps sqmat operations to operations on full matrix
bdm::grid_fnc	Function defined by values on a fixed grid and interpolated inbetween them
bdm::ITppFileDS	Read Data Matrix from an IT file
bdm::Kalman< sq_T >	Common abstract base for Kalman filters
bdm::KalmanCh	Kalman filter in square root form
bdm::KalmanFull	Basic Kalman filter with full matrices
bdm::ldmat	Matrix stored in LD form, (commonly known as UD)
bdm::linfn	Class representing function
bdm::linfnEx	Extended class representing function
bdm::log_level_base
bdm::log_level_intermediate< T >
bdm::log_level_template< T >	This class stores a details that will be logged to a logger
bdm::logger	Class for storing results (and semi-results) of an experiment
bdm::LQG
bdm::LQG_ARX	Controller using ARX model for estimation and LQG designer for control
bdm::LQG_universal	Universal LQG controller
bdm::MarginalizedParticle	Particle with marginalized subspace, used in PF
bdm::MarginalizedParticleBase	Abstract class for Marginalized Particles
bdm::MarginalizedParticleBase::eprod_2	Internal class for custom posterior - product of empirical and exact part
bdm::mBeta	Random Walk with vector Beta distribution
bdm::mDirich	Random Walk on Dirichlet
bdm::MemDS	Memory storage of off-line data column-wise (used mostly in C++)
bdm::memlog	Logging into matrices in data format in memory, optionally persisted into a file
bdm::merger_mix	Merger using importance sampling with mixture proposal density
bdm::MergerBase	Abstract common class for mergers
bdm::MergerDiscrete	Base class (interface) for for general combination of pdfs on discrete support
bdm::mexFnc
bdm::mexlog	Logger storing results into an mxArray
bdm::mgamma	Gamma random walk
bdm::mgamma_fix	Gamma random walk around a fixed point
bdm::mgdirac	Dirac delta density with predefined transformation
bdm::mgnorm< sq_T >	Pdf with general function for mean value
bdm::mguni	Uniform density with conditional mean value
bdm::migamma	Inverse-Gamma random walk
bdm::migamma_ref	Inverse-Gamma random walk around a fixed point
bdm::MixEF	Mixture of Exponential Family Densities
bdm::MixEF::eprod_mix	Posterior on component parameters
mlgauss	Normal distribution with linear function of mean value. Same as mlnorm<fsqmat>
bdm::mlnorm< sq_T, TEpdf >	Normal distributed linear function with linear function of mean value;
bdm::mlognorm	Log-Normal random walk
bdm::mlstudent	(Approximate) Student t density with linear function of mean value
bdm::mmix	Mixture of pdfs with constant weights, all pdfs are of equal RV and RVC
bdm::ModelComparator	Class for on-line model selection
bdm::mprod	Chain rule decomposition of epdf
bdm::mratio	Class representing ratio of two densities
bdm::multiBM	Estimator for Multinomial density
bdm::MultiModel	(Switching) Multiple Model The model runs several models in parallel and evaluates thier weights (fittness)
bdm::mxArrayDS	DataSource reading data columns from a Matlab matrix
bdm::NoiseParticle
bdm::NoiseParticleX
bdm::NoiseParticleXY
bdm::NoiseParticleXY::eprod_3	Internal class for custom posterior - product of empirical and exact part
bdm::object_ptr< T >	A wrapper of shared_ptr which is never empty
bdm::Participant	Basic Participant
bdm::ParticularUI< T >
bdm::pdf	Conditional probability density, e.g. modeling , where is random variable, rv, and is conditioning variable, rvc
bdm::pdf_internal< EPDF >	Pdf with internal epdf that is modified by function condition
bdm::PdfDS	Simulate data from conditional density
bdm::PF	Trivial particle filter with proposal density equal to parameter evolution model
bdm::ProdBMBase	Base class for all BM running as parallel update of internal BMs
bdm::ProdBMBase::eprod_bm	Internal class
bdm::quadraticfn	Class representing function with Q in choleski decomposition
itpp::RandunStorage	Storage of randun() internals
bdm::rectangular_support
bdm::root	Root class of BDM objects
bdm::RV	Class representing variables, most often random variables
bdm::SettingResolver	This class serves to expand links used within configuration files
bdm::shared_ptr< T >	A naive implementation of roughly a subset of the std::tr1::shared_ptr spec
bdm::sqmat	Abstract class for representation of double symmetric matrices in square-root form
bdm::StateCanonical	Conversion of outer ARX model (mlnorm) to state space model
bdm::StateFromARX
bdm::StateSpace< sq_T >	Basic elements of linear state-space model
bdm::stdlog	Simple logger used for debugging All data records are written out to std from where they could be send to file
bdm::str	Structure of RV, i.e. RVs expanded into a flat list of IDs, used for debugging
bdm::UI	UI is an abstract class which collects all the auxiliary functions useful to prepare some concrete user-infos
bdm::UIClassException
bdm::UIException
bdm::UIFile	This class serves to load and/or save user-infos into/from configuration files stored on a hard-disk
UImxArray	Class for writing Settings into Matlab's mxArray
bdm::UISettingException

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