**Problem of the Week**

**Math Club**

**BUGCAT 2019**

**DST and GT Day**

**Number Theory Conf.**

**Zassenhaus Conference**

**Hilton Memorial Lecture**

seminars:stat:180329

Statistics Seminar

Department of Mathematical Sciences

DATE: | Thursday, Month 31, 2017 |
---|---|

TIME: | 1:15pm – 2:15pm |

LOCATION: | WH 100E |

SPEAKER: | Wenbo Wang, Binghamton University |

TITLE: | An introduction to Conformal Predictions |

**Abstract**

Conformal predictions uses past experience to determine precise levels of confidence in new predictions. Given an error probability ε, together with a method that makes a prediction of the label y, it produces a set of labels that contains y with probability 1 − ε. Conformal prediction can be applied to any method which make predictions, for instance, nearest-neighbor method, support-vector machine, ridge regression, etc. In this talk, the speaker will give a brief introduction to Conformal prediction and give several examples.

seminars/stat/180329.txt · Last modified: 2018/03/25 09:09 by qyu

Except where otherwise noted, content on this wiki is licensed under the following license: CC Attribution-Noncommercial-Share Alike 3.0 Unported