Ping Li
Artificial Intelligence · with Ruppert · 2014
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Statistics and Probability — 8 citations into it
- Molecular Biology — 7 citations into it
Whom Ping Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ping Li's perspective
Ordered by how strongly the researchers Ping Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- EFFECT OF HIGH DIMENSION: BY AN EXAMPLE OF A TWO SAMPLE PROBLEM
- Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
- A two-sample test for high-dimensional data with applications to gene-set testing
- A test for the mean vector with fewer observations than the dimension
- The Random Projection Method
- Two Sample Tests for High Dimensional Covariance Matrices
- Multivariate Theory for Analyzing High Dimensional Data
- To How Many Simultaneous Hypothesis Tests Can Normal, Student's t or Bootstrap Calibration Be Applied?
- Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
Their papers
- RAPTT: An Exact Two-Sample Test in High Dimensions Using Random Projections (2014) — 79 citations