Jared S. Murray

Statistics and Probability · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 61 citations into it; #4,650 of 12,932 by trust here, #4,132 by citations
• Causal Inference & Discovery — 22 citations into it
• Artificial Intelligence — 20 citations into it
• Statistical Learning Theory — 10 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Economics and Econometrics — 7 citations into it

Whom Jared S. Murray trusts overall

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

1. Jennifer L. Hill
2. Stefan Wager
3. Susan Athey
4. Donald B. Rubin
5. Guido W. Imbens
6. Ben B. Hansen
7. Hugh A. Chipman
8. Trevor J. Hastie
9. Robert B. Gramacy
10. Peter M. Robinson

Who trusts Jared S. Murray overall

1. David Watson
2. Ahmed M. Alaa
3. Xinkun Nie
4. Antonio R. Linero
5. Ruocheng Guo
6. Lihua Lei
7. Stefan Wager
8. Mihaela van der Schaar

Papers from Jared S. Murray's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Random Forests
3. ImageNet classification with deep convolutional neural networks
4. Recursive partitioning for heterogeneous causal effects
5. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
6. Bayesian Nonparametric Modeling for Causal Inference
7. Observational Studies
8. BART: Bayesian Additive Regression Trees
9. Double/debiased machine learning for treatment and structural parameters
10. Gradient-based learning applied to document recognition

Their papers

• Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (2017) — 277 citations
• Assessing Treatment Effect Variation in Observational Studies: Results from a Data Challenge (2019) — 47 citations
• Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017 (2019) — 52 citations