Jian Yang

Statistics and Probability · with Chang · 2015

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 — 6 citations into it

Whom Jian Yang trusts overall

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

1. Leo Breiman
2. Kosuke Imai
3. Eric R. Ziegel
4. Peter C. Austin

Papers from Jian Yang's perspective

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

1. The central role of the propensity score in observational studies for causal effects
2. Bagging Predictors
3. Information-geometric approach to inferring causal directions
4. Do Get-Out-the-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments
5. The Elements of Statistical Learning
6. Classification and regression trees
7. Counterfactual reasoning and learning systems: the example of computational advertising
8. Causal Inference With General Treatment Regimes
9. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
10. Causal Discovery via Reproducing Kernel Hilbert Space Embeddings

Their papers

• Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis (2015) — 42 citations