### Abstract

An attempt is made to show how a certain given distribution estimator, which is consistent in expected information divergence, leads to a universal code for the class of all probability measures on a given nondiscrete space which are dominated in I-divergence by a known given probability measure.

Original language | English |
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Title of host publication | Proceedings of the 1993 IEEE International Symposium on Information Theory |

Publisher | Publ by IEEE |

Number of pages | 1 |

ISBN (Print) | 0780308786 |

Publication status | Published - Jan 1 1993 |

Event | Proceedings of the 1993 IEEE International Symposium on Information Theory - San Antonio, TX, USA Duration: Jan 17 1993 → Jan 22 1993 |

### Publication series

Name | Proceedings of the 1993 IEEE International Symposium on Information Theory |
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### Other

Other | Proceedings of the 1993 IEEE International Symposium on Information Theory |
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City | San Antonio, TX, USA |

Period | 1/17/93 → 1/22/93 |

### ASJC Scopus subject areas

- Engineering(all)

## Cite this

Barron, A. R., Gyoerfi, L., & van der Meulen, E. C. (1993). Universal coding of non-discrete sources based on distribution estimation consistent in expected information divergence. In

*Proceedings of the 1993 IEEE International Symposium on Information Theory*(Proceedings of the 1993 IEEE International Symposium on Information Theory). Publ by IEEE.