Variable Selection with Knockoffs

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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