Arnau Vilella

LEARNING FALSE DISCOVERY RATE CONTROL VIA MODEL-BASED NEURAL NETWORKS

Controlling the false discovery rate (FDR) in high-dimensional variable selection requires balancing rigorous error control with statistical power. Existing methods with provable guarantees are often overly conservative, creating a persistent gap between the realized false discovery proportion (FDP)…