Matthew A. Taddy

Statistics and Probability · 2009–2014

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 — 26 citations into it
• Artificial Intelligence — 14 citations into it; #25,656 of 35,345 by trust here, #26,682 by citations
• Management Science and Operations Research — 6 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Causal Inference & Discovery — 5 citations into it

Whom Matthew A. Taddy trusts overall

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

1. Niko Speybroeck
2. Robert Tibshirani
3. Donald B. Rubin
4. Susan Athey
5. Hui Zou
6. David Freedman
7. Jerome H. Friedman
8. Matt Taddy
9. Halbert White
10. James O. Berger

Who trusts Matthew A. Taddy overall

1. Matt Taddy
2. Robert B. Gramacy
3. Chun-Sheng Chen
4. Carlos M. Carvalho
5. Scott Powers
6. Jun Yu
7. Susan Athey
8. Mitch Wyle
9. Avi Feller

Papers from Matthew A. Taddy's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Random Forests
3. Greedy function approximation: A gradient boosting machine.
4. The Adaptive Lasso and Its Oracle Properties
5. The Nature of Statistical Learning Theory
6. Addendum: Regularization and variable selection via the elastic net
7. Classification and regression trees
8. On regression adjustments to experimental data
9. A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
10. On regression adjustments in experiments with several treatments

Their papers

• Dynamic Trees for Learning and Design (2009) — 134 citations
• A Nonparametric Bayesian Analysis of Heterogenous Treatment Effects in Digital Experimentation (2014) — 59 citations