MarkovKernels.jl
  • Home
  • Affine maps
  • PSDParametrizations
    • General
    • Internal
  • Distributions
    • General
    • Categorical
    • Normal
    • Dirac
  • Kernels
    • General
    • NormalKernel
    • DiracKernel
    • StochasticMatrix
  • Likelihoods
    • General
    • Categorical likelihoods
    • Likelihood
    • Log-quadratic likelihoods
    • Flat likelihoods
  • Binary operators
  • Tutorials
    • Sampling and inference in Hidden Markov models
    • Sampling and inference in Gauss-Markov models
Version
  • Likelihoods
  • Categorical likelihoods
  • Categorical likelihoods


Categorical likelihoods

Type

MarkovKernels.CategoricalLikelihood — Type
CategoricalLikelihood

Type for representing a Likelihood function over categories.

source

Constructor

MarkovKernels.CategoricalLikelihood — Method
CategoricalLikelihood(L::Likelihood{<:StochasticMatrix})

Computes a categorical likelihood from L.

source

Methods

MarkovKernels.likelihood_vector — Method
likelihood_vector(L::CategoricalLikelihood)

Computes the vector of likelihood evaluations.

source
« GeneralLikelihood »

Powered by Documenter.jl and the Julia Programming Language.

Settings


This document was generated with Documenter.jl version 1.8.0 on Tuesday 21 January 2025. Using Julia version 1.11.2.