### 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 |

Pages | 51 |

Number of pages | 1 |

ISBN (Print) | 0780308786 |

Publication status | Published - 1993 |

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

### 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

*Proceedings of the 1993 IEEE International Symposium on Information Theory*(pp. 51). Publ by IEEE.

**Universal coding of non-discrete sources based on distribution estimation consistent in expected information divergence.** / Barron, Andrew R.; Györfi, L.; van der Meulen, Edward C.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the 1993 IEEE International Symposium on Information Theory.*Publ by IEEE, pp. 51, Proceedings of the 1993 IEEE International Symposium on Information Theory, San Antonio, TX, USA, 1/17/93.

}

TY - GEN

T1 - Universal coding of non-discrete sources based on distribution estimation consistent in expected information divergence

AU - Barron, Andrew R.

AU - Györfi, L.

AU - van der Meulen, Edward C.

PY - 1993

Y1 - 1993

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0027210219&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027210219&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0027210219

SN - 0780308786

SP - 51

BT - Proceedings of the 1993 IEEE International Symposium on Information Theory

PB - Publ by IEEE

ER -