## Probabilistic Models for Bacterial Taxonomy (2000)

Venue: | INTERNATIONAL STATISTICAL REVIEW |

Citations: | 8 - 3 self |

### BibTeX

@ARTICLE{Gyllenberg00probabilisticmodels,

author = {Mats Gyllenberg and Timo Koski},

title = {Probabilistic Models for Bacterial Taxonomy},

journal = {INTERNATIONAL STATISTICAL REVIEW},

year = {2000},

volume = {69},

pages = {249--276}

}

### OpenURL

### Abstract

We give a survey of different probabilistic partitioning methods that have been applied to bacterial taxonomy. We introduce a theoretical framework, which makes it possible to treat the various models in a unified way. The key concepts of our approach are prediction and storing of microbiological information in a Bayesian forecasting setting. We show that there is a close connection between classification and probabilistic identification and that, in fact, our approach ties these two concepts together in a coherent way.