emrys-filter/Distributions_8h_source.html

#pragma once


#include <EmrysFilter/Distributions/Categorical.h>

#include <EmrysFilter/Distributions/Component.h>

#include <EmrysFilter/Distributions/Conditionals.h>

#include <EmrysFilter/Distributions/ContinuousTimeMarkovChain.h>

#include <EmrysFilter/Distributions/Divergence.h>

#include <EmrysFilter/Distributions/Fitting.h>

#include <EmrysFilter/Distributions/Gamma.h>

#include <EmrysFilter/Distributions/Gaussian.h>

#include <EmrysFilter/Distributions/GaussianForm.h>

#include <EmrysFilter/Distributions/Mixture.h>

#include <EmrysFilter/Distributions/GridGaussian.h>

#include <EmrysFilter/Distributions/Upkeep.h>

#include <EmrysFilter/Distributions/Hybrid.h>

#include <EmrysFilter/Distributions/InfoGaussian.h>

#include <EmrysFilter/Distributions/KernelDensity.h>

#include <EmrysFilter/Distributions/Moments.h>

#include <EmrysFilter/Distributions/ParticleGaussian.h>

#include <EmrysFilter/Distributions/Params.h>

#include <EmrysFilter/Distributions/ParticleSet.h>

#include <EmrysFilter/Distributions/Product.h>

#include <EmrysFilter/Distributions/Roots.h>

#include <EmrysFilter/Distributions/SampleSet.h>

#include <EmrysFilter/Distributions/Sampling.h>

#include <EmrysFilter/Distributions/SqrtGaussian.h>

#include <EmrysFilter/Distributions/SqrtInfoGaussian.h>

#include <EmrysFilter/Distributions/Statistics.h>

#include <EmrysFilter/Distributions/StudentT.h>

#include <EmrysFilter/Distributions/Uniform.h>

#include <EmrysFilter/Distributions/UniformMixture.h>

Categorical.h
The distribution over a discrete space (decisions.md [discrete-spaces], [params-and-density]): Catego...

Component.h
What a container of several Gaussians needs of each one (decisions.md [component-first]): the Compone...

Conditionals.h
What the Rao-Blackwellized states share (decisions.md [rao-blackwellized-core], [rb-particle-filter])...

ContinuousTimeMarkovChain.h
The continuous-time chain on a discrete space: ContinuousTimeMarkovChain, built from a generator of r...

Divergence.h
Divergences between distributions (decisions.md [divergences]): Kullback-Leibler, Bhattacharyya,...

Fitting.h
Fitting a Gaussian mixture by expectation-maximization: fitMixture() over particles,...

Gamma.h
Gamma: independent Gamma distributions on the coordinates, with the exponential and chi-squared as sp...

GaussianForm.h
What the four forms of the Gaussian share (decisions.md [gaussian-forms], [form-densities]): the Gaus...

Gaussian.h
The Gaussian: its parameters GaussianParams, the Gaussian that evaluates the density,...

GridGaussian.h
Grids of points and the state over them (decisions.md [rb-point-mass], [rao-blackwellized-core]): Gri...

Hybrid.h
The hybrid state of a discrete mode and a component per mode (decisions.md [imm], [component-first]):...

InfoGaussian.h
The information form of the Gaussian (decisions.md [gaussian-forms]): its parameters InfoGaussianPara...

KernelDensity.h
KernelDensity: the Gaussian kernel density estimate over a ParticleSet, the read-only view that Parti...

Mixture.h
The mixture: the parameters MixtureParams of weighted components of one type (decisions....

Moments.h
Moments: the mean and covariance that a Gaussian carries and that a mixture or a sample set is moment...

Params.h
Params and Density: the traits that pair a distribution's parameters with its density,...

ParticleGaussian.h
The state of a Rao-Blackwellized particle filter (decisions.md [rb-particle-filter]): ParticleGaussia...

ParticleSet.h
The particle set: ParticleSet, the weighted samples, with resampling, upkeep of weights and particles...

Product.h
Product: the product of independent densities, each on its own block of a space, built with on<Path>(...

Roots.h
Square roots of a covariance (decisions.md [sigma-point-axes]): the Axes and Repair concepts that a r...

SampleSet.h
SampleSet: a matrix whose columns are samples in a space, which the samplers return and the unscented...

Sampling.h
Drawing samples: SamplesWithLogDensity and SampleWithLogDensity, the Gaussian draws drawSamples(),...

SqrtGaussian.h
The square-root form of the Gaussian (decisions.md [gaussian-forms]): its parameters SqrtGaussianPara...

SqrtInfoGaussian.h
The square-root information form of the Gaussian (decisions.md [gaussian-forms]): its parameters Sqrt...

Statistics.h
Weighted statistics over points, all in internal, which the containers of weighted elements (Gaussian...

StudentT.h
StudentT: the multivariate Student-t, a Gaussian with heavier tails, built by create() from a locatio...

UniformMixture.h
uniformComponents(): equal-weight Gaussian components on a regular grid that approximate a Uniform,...

Uniform.h
Uniform: the uniform distribution over a box, with the box taken from a space of Periodic coordinates...

Upkeep.h
Upkeep (decisions.md [upkeep], [rao-blackwellized-core]): the actions Resample, Roughen,...