Stefan Wager

Stefan Wager

Stanford University

H-index: 34

North America-United States

About Stefan Wager

Stefan Wager, With an exceptional h-index of 34 and a recent h-index of 34 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Statistics, Machine Learning, Causal Inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records

Minimax-Regret Sample Selection in Randomized Experiments

Proof‐of‐concept of a data‐driven approach to estimate the associations of comorbid mental and physical disorders with global health‐related disability

What makes forest-based heterogeneous treatment effect estimators work?

Off-Policy Evaluation in Markov Decision Processes under Weak Distributional Overlap

Estimated average treatment effect of psychiatric hospitalization in patients with suicidal behaviors: a precision treatment analysis

Weak signal asymptotics for sequentially randomized experiments

Treatment heterogeneity with right-censored outcomes using grf

Stefan Wager Information

University

Position

Graduate School of Business

Citations(all)

12378

Citations(since 2020)

10822

Cited By

4546

hIndex(all)

34

hIndex(since 2020)

34

i10Index(all)

64

i10Index(since 2020)

59

Email

University Profile Page

Google Scholar

Stefan Wager Skills & Research Interests

Statistics

Machine Learning

Causal Inference

Top articles of Stefan Wager

Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records

Molecular psychiatry

2024/3/14

Minimax-Regret Sample Selection in Randomized Experiments

arXiv preprint arXiv:2403.01386

2024/3/3

Proof‐of‐concept of a data‐driven approach to estimate the associations of comorbid mental and physical disorders with global health‐related disability

International Journal of Methods in Psychiatric Research

2024/3

What makes forest-based heterogeneous treatment effect estimators work?

The Annals of Applied Statistics

2024/3

Stefan Wager
Stefan Wager

H-Index: 23

Off-Policy Evaluation in Markov Decision Processes under Weak Distributional Overlap

arXiv preprint arXiv:2402.08201

2024/2/13

Mohammad Mehrabi
Mohammad Mehrabi

H-Index: 6

Stefan Wager
Stefan Wager

H-Index: 23

Estimated average treatment effect of psychiatric hospitalization in patients with suicidal behaviors: a precision treatment analysis

JAMA psychiatry

2024/2/1

Weak signal asymptotics for sequentially randomized experiments

Management Science

2023/12/6

Stefan Wager
Stefan Wager

H-Index: 23

Treatment heterogeneity with right-censored outcomes using grf

arXiv e-prints

2023/12

Stefan Wager
Stefan Wager

H-Index: 23

Low-intensity fires mitigate the risk of high-intensity wildfires in California’s forests

Science advances

2023/11/10

Xiao Wu
Xiao Wu

H-Index: 12

Stefan Wager
Stefan Wager

H-Index: 23

Off-policy evaluation in partially observed Markov decision processes under sequential ignorability

The Annals of Statistics

2023/8

Yuchen Hu
Yuchen Hu

H-Index: 4

Stefan Wager
Stefan Wager

H-Index: 23

Qini Curves for Multi-Armed Treatment Rules

arXiv preprint arXiv:2306.11979

2023/6/21

Policy learning under biased sample selection

arXiv preprint arXiv:2304.11735

2023/4/23

Treatment heterogeneity with survival outcomes

2023/4/11

Estimating heterogeneous treatment effects with right-censored data via causal survival forests

Journal of the Royal Statistical Society Series B: Statistical Methodology

2023/4/1

Experimenting under stochastic congestion

arXiv preprint arXiv:2302.12093

2023/2/22

Ramesh Johari
Ramesh Johari

H-Index: 26

Stefan Wager
Stefan Wager

H-Index: 23

Perception of Increasing Wildfire Risk Lowers Appreciation of Residential Real Estate in California

Available at SSRN 4540783

2023

Xinkun Nie
Xinkun Nie

H-Index: 5

Stefan Wager
Stefan Wager

H-Index: 23

Offline multi-action policy learning: Generalization and optimization

Operations Research

2022/6/7

Smoothness-adaptive contextual bandits

Operations Research

2021

Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis

Journal of the American Statistical Association

2022/9/14

Nikolaos Ignatiadis
Nikolaos Ignatiadis

H-Index: 6

Stefan Wager
Stefan Wager

H-Index: 23

Confidence intervals for nonparametric empirical Bayes analysis

Journal of the American Statistical Association

2022/3/11

Nikolaos Ignatiadis
Nikolaos Ignatiadis

H-Index: 6

Stefan Wager
Stefan Wager

H-Index: 23

See List of Professors in Stefan Wager University(Stanford University)

Co-Authors

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