Yixin Fang

Statistics and Probability · 2012–2021

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 12 citations into it
• Artificial Intelligence — 8 citations into it

Whom Yixin Fang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Gerda Claeskens
2. Robert Tibshirani
3. Florin Vaida
4. James S. Hodges
5. Hulin Wu
6. Trevor J. Hastie
7. Grace Wahba
8. Nils Lid Hjort
9. Jin-Ting Zhang
10. S. Blanchard

Papers from Yixin Fang's perspective

Ordered by how strongly the researchers Yixin Fang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Model selection and estimation in regression with grouped variables
3. Generalized Additive Models
4. Information Theory and an Extension of the Maximum Likelihood Principle
5. The Adaptive Lasso and Its Oracle Properties
6. Spline Models for Observational Data
7. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
8. Nonconcave penalized likelihood with a diverging number of parameters
9. The Focused Information Criterion
10. Variable Selection for Model-Based Clustering

Their papers

• Asymptotic Equivalence between Cross-Validations and Akaike Information Criteria in Mixed-Effects Models (2021) — 68 citations
• Regularized k-means clustering of high-dimensional data and its asymptotic consistency (2012) — 125 citations