Internal Module
Functions and values
| Function or value |
Description
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Full Usage:
bivariateGaussian key1 key2 sigmax sigmay rho
Parameters:
ObsForLikelihood<'ux>
key2 : ObsForLikelihood<'uy>
sigmax : IncludedParameter<'ux>
sigmay : IncludedParameter<'uy>
rho : IncludedParameter<MeasureOne>
Returns: Likelihood<'state>
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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.
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Full Usage:
gaussian key sigmax
Parameters:
ObsForLikelihood<'s>
sigmax : IncludedParameter<'s>
Returns: Likelihood<'state>
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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.
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Full Usage:
logGaussian key sigma
Parameters:
ObsForLikelihood<MeasureOne>
sigma : IncludedParameter<MeasureOne>
Returns: Likelihood<'state>
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Full Usage:
sumOfSquares keys
Parameters:
ObsForLikelihood<'s> list
Returns: Likelihood<'state>
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Residual sum of squares. Provides a simple metric of distance between observed data and model predictions.
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bristlecone