Liyun Chen

Statistics and Probability · 2014

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 30 citations into it; #10,003 of 12,932 by trust here, #4,650 by citations
• Artificial Intelligence — 14 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Economics and Econometrics — 7 citations into it
• Causal Inference & Discovery — 5 citations into it; #317 of 364 by trust here, #288 by citations
• Management Science and Operations Research — 5 citations into it; #10,395 of 11,946 by trust here, #6,888 by citations

Whom Liyun Chen trusts overall

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

1. Robert Tibshirani
2. Halbert White
3. W. Lin
4. Donald B. Rubin
5. David Freedman
6. Jerome H. Friedman
7. Trevor J. Hastie
8. Guido W. Imbens
9. Hui Zou
10. Susan Athey

Who trusts Liyun Chen overall

1. Alex Peysakhovich

Papers from Liyun Chen's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Greedy function approximation: A gradient boosting machine.
3. Random Forests
4. On regression adjustments to experimental data
5. The Adaptive Lasso and Its Oracle Properties
6. On regression adjustments in experiments with several treatments
7. A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
8. Modeling Heterogeneous Treatment Effects in Survey Experiments with Bayesian Additive Regression Trees
9. Classification and regression trees
10. Heuristics of instability and stabilization in model selection

Their papers

• A Nonparametric Bayesian Analysis of Heterogenous Treatment Effects in Digital Experimentation (2014) — 59 citations
• Heterogeneous Treatment Effects in Digital Experimentation (2014) — 67 citations