The notion of a statistical model, as inferred and used in
statistics, machine learning and data mining,
is examined from a semantic point of view.
Data types and type-classes for models are developed
that allow models to be manipulated in a type-safe yet flexible way.
The programming language Haskell-98, with its system
of polymorphic types and type-classes,
is used as the meta-language for this exercise
so one of the by-products is a running program.
© 2003, Australian Computer Society, Inc.
This paper appeared at the
Twenty-Sixth Australasian Computer Science
Conference (ACSC2003) pp207-215, Adelaide, Australia,
4-7 February 2003.
Conferences in Research and Practice in Information Technology, Vol.16.
Michael Oudshoorn, Ed.
Reproduction for academic, not-for profit purposes permitted provided
this text is included.
Also see [JFP].
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