Andy Branca
2003
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Andy Branca trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Andy Branca overall
Papers from Andy Branca's perspective
Ordered by how strongly the researchers Andy Branca trusts endorse each paper. Same corpus, a different order for every researcher.
- Introduction to the theory of neural computation
- Principal Component Analysis
- Blind beamforming for non-gaussian signals
- A Modified Principal Component Technique Based on the LASSO
- On Consistency and Sparsity for Principal Components Analysis in High Dimensions (Journal of the American Statistical Association)
- Simple principal components
- Analysis of a complex of statistical variables into principal components.
- Regression Shrinkage and Selection via the Lasso
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
Their papers
- Electronic nose based discrimination of a perfumery compound in a fragrance (2003) — 82 citations