Resampling Techniques – ONLINE

Course details

statistics seminar | level: intermediate | register now
for questions related to this event, contact ugent@flames-statistics.com
affiliation: Ghent University

Abstract

This seminar is about Resampling Techniques:

Resampling techniques are statistical procedures that re-use the sample data for the purpose of statistical
inference. For example: they can be used to estimate the variance and/or the bias of an estimator, construct
different types of confidence or prediction intervals and perform hypothesis tests about a parameter being
estimated. They are mostly relevant when parametric assumptions cannot be verified in practice due to small
samples, when joint distributions become too complex that closed forms cannot be obtained or for model
validation. We are going to consider four resampling techniques: permutations, cross-validation, bootstrap and the
jackknife with examples in R.

Prerequisites

Background readings

Fee

Free

Venue

Online course.

Instructor

Emmanuel Abatih