Aggregation of multiple knockoffs

TB Nguyen, JA Chevalier, B Thirion… - … on machine learning, 2020 - proceedings.mlr.press
We develop an extension of the knockoff inference procedure, introduced by Barber &
Candes (2015). This new method, called Aggregation of Multiple Knockoffs (AKO) …

[HTML][HTML] Aggregating knockoffs for false discovery rate control with an application to gut microbiome data

F Xie, J Lederer - Entropy, 2021 - mdpi.com
Recent discoveries suggest that our gut microbiome plays an important role in our health
and wellbeing. However, the gut microbiome data are intricate; for example, the microbial …

Some Contributions to Modern Multiple Hypothesis Testing in High-dimension

BT Nguyen - 2021 - theses.hal.science
This thesis deals with multiple testing problems in high-dimension, a regime which has
become increasingly common nowadays in statistical inference. Its main goal is to provide …

Statistical inference with incomplete and high-dimensional data-modeling polytraumatized patients

W Jiang - 2020 - theses.hal.science
The problem of missing data has existed since the beginning of data analysis, as missing
values are related to the process of obtaining and preparing data. In applications of modern …