Random Matrix Theory
Cross-source consensus on Random Matrix Theory from 1 sources and 4 claims.
1 sources · 4 claims
Uses
How it works
Evidence quality
Highlighted claims
- In the spiked covariance model, a covariance spike separates from noise only above the BBP threshold. — Disease Is a Spectral Perturbation
- Structured disease covariance perturbations are detectable in the sample spectrum only when their magnitude exceeds the square-root gamma threshold. — Disease Is a Spectral Perturbation
- The Marchenko-Pastur law is used to distinguish structured disease signal from sampling noise in high-dimensional biomarker data. — Disease Is a Spectral Perturbation
- Study design should keep biomarker dimensionality small enough relative to sample size for disease covariance signals to rise above noise. — Disease Is a Spectral Perturbation