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Difficulties of Interpretation With Markov Chain Models
Author(s) -
Finch Peter D.
Publication year - 1982
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1982.tb00839.x
Subject(s) - interpretation (philosophy) , markov chain , context (archaeology) , relevance (law) , computer science , probabilistic logic , process (computing) , epistemology , artificial intelligence , machine learning , philosophy , history , political science , programming language , archaeology , law
Summary Questions such as “how useful is a Markov chain model!” and “what does it tell us about a real process?” are discussed. The relevance of context is stressed and it is argued that good data fits are not enough by themselves. It is suggested that a descriptive data analytic interpretation of the modelling process might sometimes be more appropriate than the usual probabilistic interpretation.