Useful conversion functions map from one class of statistical model to another.
They directly implement basic probability rules in the programming language.
They also increase the generality of models and estimators.
users.monash.edu.au/~lloyd/Seminars/2005-II/Conversion/index.shtmlConversion function | Parameter(s) | Result |
---|---|---|
model2timeSeries |
a model of |
the trivial time-series model |
model2functionModel |
a model of |
the trivial function-model from an input-space, 'is',
|
condition (Bayes's thm) |
a function-model from 'is' |
joint model of (is,os) |
functionModel2model |
a function-model from |
a model of (is,os) where 'is' is |
functionModel2timeSeries |
a function-model from [ds] |
a time-series model |
timeSeries2model |
a time-series model (& a model of lengths (Int)) |
a model |
timeSeries2functionModel |
a time-series model |
a function-model from [ds] |