Marginal False Discovery Rates
By Fenguoerbian in False Discovery Rates R
May 16, 2021
Abstract
In this group seminar, I will talk about the concept of Marginal False Discovery Rates(mFDR) based on the paper "Marginal false discovery rates for penalized regression models" by Patrick Breheny.
Date
May 17, 2021
Time
7:00 PM – 8:00 PM
Location
Room 1114, Scientific Research Laboratory Building
Event
Group seminar
The reference paper proposes a new perspective for defining false discovery rates in the content of penalized regression models. The mFDR is easy to compute and can control the number of noise features picked out by the model under some regularity conditions. When there are non-independent correlation structure among the noise features, the author proposes to use permutation method to estimate mFDR.
- Posted on:
- May 16, 2021
- Length:
- 1 minute read, 62 words
- Categories:
- False Discovery Rates R
- Tags:
- False Discovery Rates R