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Internal Module

Functions and values

Function or value Description

bivariateGaussian key1 key2 sigmax sigmay rho

Full Usage: bivariateGaussian key1 key2 sigmax sigmay rho

Parameters:
Returns: Likelihood<'state>

Log likelihood function for dual simultaneous system, assuming Gaussian error for both x and y. Requires parameters 'σ[x]', 'σ[y]' and 'ρ' to be defined and passed as arguments.

key1 : ObsForLikelihood<'ux>
key2 : ObsForLikelihood<'uy>
sigmax : IncludedParameter<'ux>
sigmay : IncludedParameter<'uy>
rho : IncludedParameter<MeasureOne>
Returns: Likelihood<'state>

gaussian key sigmax

Full Usage: gaussian key sigmax

Parameters:
Returns: Likelihood<'state>

Log likelihood function for single equation system, assuming constant (homoscedastic) Gaussian error for x. Requires a parameter 'σ[x]' to be included in any `ModelSystem` that uses it.

key : ObsForLikelihood<'s>
sigmax : IncludedParameter<'s>
Returns: Likelihood<'state>

logGaussian key sigma

Full Usage: logGaussian key sigma

Parameters:
Returns: Likelihood<'state>

sumOfSquares keys

Full Usage: sumOfSquares keys

Parameters:
Returns: Likelihood<'state>

Residual sum of squares. Provides a simple metric of distance between observed data and model predictions.

keys : ObsForLikelihood<'s> list
Returns: Likelihood<'state>

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