Jia Guo
Statistics and Probability · with Cheng · 2020
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 18 citations into it
- Molecular Biology — 6 citations into it
Whom Jia Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jia Guo's perspective
Ordered by how strongly the researchers Jia Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Sure independence screening for ultrahigh dimensional feature space
- High Dimensional Classification Using Features Annealed Independence Rules. (Annals of Statistics)
- Nonconcave penalized likelihood with a diverging number of parameters
- A test for the mean vector with fewer observations than the dimension
- A HIGH DIMENSIONAL TWO SAMPLE SIGNIFICANCE TEST
- A unified approach to model selection and sparse recovery using regularized least squares
- An Introduction to Multivariate Statistical Analysis
- A two sample test in high dimensional data
Their papers
- A Simple Two-Sample Test in High Dimensions Based on L2-Norm (2020) — 72 citations