A Strong Limit Theorem for Functions of Continuous Random Variables and an Extension of the Shannon-McMillan Theorem

نویسندگان

  • Gaorong Li
  • Shuang Chen
  • Sanying Feng
چکیده

By means of the notion of likelihood ratio, the limit properties of the sequences of arbitrarydependent continuous random variables are studied, and a kind of strong limit theorems represented by inequalities with random bounds for functions of continuous random variables is established. The Shannon-McMillan theorem is extended to the case of arbitrary continuous information sources. In the proof, an analytic technique, the tools of Laplace transform, andmoment generating functions to study the strong limit theorems are applied.

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عنوان ژورنال:
  • J. Applied Mathematics

دوره 2008  شماره 

صفحات  -

تاریخ انتشار 2008