Variable Selection with Knockoffs
GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies
Emmanuel Candès: “The Knockoffs Framework: New Statistical Tools for Replicable Selections”
Path diagram for the general latent variable model involving knockoff
Statistics Department Seminar Series: Lucas Janson, Department of Statistics, Stanford University: Model-free knockoffs for high-dimensional controlled variable selection
2022 – 2023 Acad. Year UCLA Statistics & Data Science
2022 – 2023 Acad. Year UCLA Statistics & Data Science
Grace-AKO: a novel and stable knockoff filter for variable selection incorporating gene network structures, BMC Bioinformatics
Variable selection with false discovery rate control in deep neural networks
model-selection · GitHub Topics · GitHub
IPI PAN ZBO
Past Events from 3 May 2024 – 17 May 2024 – Collegio Carlo Alberto
Refined StabKoff Selection Procedure
Knockoffs - Tutorial (Original Paper, Fixed X)
HUB University of Washington Department of Statistics
Adjusting the Benjamini-Hochberg method for controlling the false discovery rate in knockoff assisted variable selection