Related references
Note: Only part of the references are listed.NONPARAMETRIC BAYES ANALYSIS OF THE SHARP AND FUZZY REGRESSION DISCONTINUITY DESIGNS
Siddhartha Chib et al.
ECONOMETRIC THEORY (2023)
Bayesian causal inference: a critical review
Fan Li et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2023)
Simulation-based estimators of analytically intractable causal effects
Antonio R. Linero
BIOMETRICS (2022)
Debiased machine learning of global and local parameters using regularized Riesz representers
Victor Chernozhukov et al.
ECONOMETRICS JOURNAL (2022)
Mediation Analysis Using Bayesian Tree Ensembles
Antonio R. Linero et al.
PSYCHOLOGICAL METHODS (2022)
Overlap in observational studies with high-dimensional covariates
Alexander D'Amour et al.
JOURNAL OF ECONOMETRICS (2021)
The Seven Tools of Causal Inference, with Reflections on Machine Learning
Judea Pearl
COMMUNICATIONS OF THE ACM (2019)
Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition
Vincent Dorie et al.
STATISTICAL SCIENCE (2019)
A national experiment reveals where a growth mindset improves achievement
David S. Yeager et al.
NATURE (2019)
Bayesian Additive Regression Trees: A Review and Look Forward
Jennifer Hill et al.
Annual Review of Statistics and Its Application (2019)
Penalized Spline of Propensity Methods for Treatment Comparison
Tingting Zhou et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2019)
HIGH-DIMENSIONAL ASYMPTOTICS OF PREDICTION: RIDGE REGRESSION AND CLASSIFICATION
Edgar Dobriban et al.
ANNALS OF STATISTICS (2018)
Bayesian nonparametric generative models for causal inference with missing at random covariates
Jason Roy et al.
BIOMETRICS (2018)
A Bayesian nonparametric approach to causal inference on quantiles
Dandan Xu et al.
BIOMETRICS (2018)
Regularization and Confounding in Linear Regression for Treatment Effect Estimation
P. Richard Hahn et al.
BAYESIAN ANALYSIS (2018)
A framework for Bayesian nonparametric inference for causal effects of mediation
Chanmin Kim et al.
BIOMETRICS (2017)
SPECTRUM ESTIMATION FROM SAMPLES
Weihao Kong et al.
ANNALS OF STATISTICS (2017)
Discussion of On Bayesian estimation of marginal structural models
James M. Robins et al.
BIOMETRICS (2015)
Machine Learning and Causal Inference for Policy Evaluation
Susan Athey
KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2015)
Bayesian Nonparametric Instrumental Variables Regression Based on Penalized Splines and Dirichlet Process Mixtures
Manuel Wiesenfarth et al.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2014)
The Bayesian Analysis of Complex, High-Dimensional Models: Can It Be CODA?
Y. Ritov et al.
STATISTICAL SCIENCE (2014)
Inference on Treatment Effects after Selection among High-Dimensional ControlsaEuro
Alexandre Belloni et al.
REVIEW OF ECONOMIC STUDIES (2014)
Model Feedback in Bayesian Propensity Score Estimation
Corwin M. Zigler et al.
BIOMETRICS (2013)
Bayesian Nonparametric Modeling for Causal Inference
Jennifer L. Hill
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2011)
BART: BAYESIAN ADDITIVE REGRESSION TREES
Hugh A. Chipman et al.
ANNALS OF APPLIED STATISTICS (2010)
A General Approach to Causal Mediation Analysis
Kosuke Imai et al.
PSYCHOLOGICAL METHODS (2010)
Doubly robust estimation in missing data and causal inference models
H Bang
BIOMETRICS (2005)
Causal inference using potential outcomes: Design, modeling, decisions
DB Rubin
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2005)
Efficient estimation of average treatment effects using the estimated propensity score
K Hirano et al.
ECONOMETRICA (2003)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)