Abiral Baniya

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 20 citations into it
• Economics and Econometrics — 8 citations into it
• Reinforcement Learning — 7 citations into it
• Causal Inference & Discovery — 6 citations into it

Whom Abiral Baniya trusts overall

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

1. Susan A. Murphy
2. James M. Robins
3. Donald B. Rubin
4. Charles F. Manski
5. Rajeev Dehejia
6. Philip W. Lavori
7. Keisuke Hirano
8. Min Qian
9. Damien Ernst
10. Bibhas Chakraborty

Who trusts Abiral Baniya overall

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati

Papers from Abiral Baniya's perspective

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

1. Reinforcement Learning: An Introduction
2. Optimal dynamic treatment regimes
3. Optimal Structural Nested Models for Optimal Sequential Decisions
4. Regression Shrinkage and Selection via the Lasso
5. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
6. Reinforcement Learning: A Survey
7. Learning from delayed rewards
8. A design for testing clinical strategies: biased adaptive within‐subject randomization
9. Interactive model building for Q-learning
10. ImageNet classification with deep convolutional neural networks

Their papers

• Adaptive Interventions Treatment Modelling and Regimen Optimization Using Sequential Multiple Assignment Randomized Trials (Smart) and Q-Learning (2018) — 4 citations