ARAN - Access to Research at NUI Galway

A Stochastic Complexity Perspective of Induction in Economics and Inference in Dynamics

ARAN - Access to Research at NUI Galway

Show simple item record

dc.contributor.author Velupillai, K. Vela en
dc.date.accessioned 2010-05-10T13:58:13Z en
dc.date.available 2010-05-10T13:58:13Z en
dc.date.issued 2007 en
dc.identifier.citation Velupillai, K. V., (2007) "A Stochastic Complexity Perspective of Induction in Economics and Inference in Dynamics" (Working Paper No. 0127) Department of Economics, National University of Ireland, Galway. en
dc.identifier.uri http://hdl.handle.net/10379/984 en
dc.description.abstract Rissanen's fertile and pioneering minimum description length principle (MDL) has been viewed from the point of view of statistical estimation theory, information theory, as stochastic complexity theory - i.e., a computable approximation of Kolomogorov Complexity - or Solomonoff's recursion theoretic induction principle or as analogous to Kolmogorov's sufficient statistics. All these - and many more - interpretations are valid, interesting and fertile. In this paper I view it from two points of view: those of an algorithmic economist and a dynamical system theorist. From these points of view I suggest, first, a recasting of Jevon's sceptical vision of induction in the light of MDL; and a complexity interpretation of an undecidable question in dynamics. en
dc.format application/pdf en
dc.language.iso en en
dc.publisher National University of Ireland, Galway en
dc.relation.ispartofseries working papers;0127 en
dc.subject Economics en
dc.title A Stochastic Complexity Perspective of Induction in Economics and Inference in Dynamics en
dc.type Working Paper en
dc.description.peer-reviewed peer-reviewed en

Files in this item

This item appears in the following Collection(s)

Show simple item record