Mallory Wang

2014

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Mallory Wang's perspective

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

1. R: A language and environment for statistical computing.
2. The Elements of Statistical Learning
3. Regression Shrinkage and Selection via the Lasso
4. Learning the parts of objects by non-negative matrix factorization
5. Estimating causal effects of treatments in randomized and nonrandomized studies.
6. On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
8. Random Forests
9. Principal components analysis corrects for stratification in genome-wide association studies
10. Modeling Survival Data: Extending the Cox Model

Their papers

• Bayesian Population Interpolation and Lasso-Based Target Selection in Survey Weighting (2014) — 4 citations