Asymptotics of Continuous Bayes for Non-i.i.d. Sources

نویسندگان

  • Tor Lattimore
  • Marcus Hutter
چکیده

Clarke and Barron analysed the relative entropy between an i.i.d. source and a Bayesian mixture over a continuous class containing that source. In this paper a comparable result is obtained when the source is permitted to be both non-stationary and dependent. The main theorem shows that Bayesian methods perform well for both compression and sequence prediction even in this most general setting with only mild technical assumptions.

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عنوان ژورنال:
  • CoRR

دوره abs/1411.2918  شماره 

صفحات  -

تاریخ انتشار 2014