Daniel J. Luckett

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 18 citations into it; #9,819 of 12,932 by trust here, #8,279 by citations
• Reinforcement Learning — 5 citations into it

Whom Daniel J. Luckett trusts overall

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

1. Susan A. Murphy
2. Eric B. Laber
3. Yufan Zhao
4. Baqun Zhang
5. Martin L. Puterman
6. Kristin A. Linn
7. Anastasios A. Tsiatis
8. James M. Robins
9. Erica E. Moodie
10. Donald B. Rubin

Who trusts Daniel J. Luckett overall

1. Nathan Kallus
2. Masatoshi Uehara
3. Michael R. Kosorok
4. Chao Yu
5. Eric B. Laber
6. Jiming Liu

Papers from Daniel J. Luckett's perspective

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

1. Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
2. A Robust Method for Estimating Optimal Treatment Regimes
3. Interactive model building for Q-learning
4. Optimal dynamic treatment regimes
5. Bayesian Inference for Causal Effects: The Role of Randomization
6. Mobile Health Technology Evaluation (American Journal of Preventive Medicine)
7. Demystifying Optimal Dynamic Treatment Regimes
8. A Generalization Error for Q-Learning
9. Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes
10. Reinforcement learning design for cancer clinical trials

Their papers

• Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning (2016) — 164 citations