Estimating Density Ratio of Marginals to Joint: Applications to Causal Inference
From MaRDI portal
Publication:6149860
DOI10.1080/07350015.2022.2035228OpenAlexW4210607394WikidataQ130420199 ScholiaQ130420199MaRDI QIDQ6149860
Yukitoshi Matsushita, Taisuke Otsu, Keisuke Takahata
Publication date: 5 March 2024
Published in: Journal of Business & Economic Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07350015.2022.2035228
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Direct importance estimation for covariate shift adaptation
- Some new asymptotic theory for least squares series: pointwise and uniform results
- Convergence rates and asymptotic normality for series estimators
- Covariate balancing propensity score for a continuous treatment: application to the efficacy of political advertisements
- Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation
- Density Ratio Estimation in Machine Learning
- Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects
- The central role of the propensity score in observational studies for causal effects
- Matching As An Econometric Evaluation Estimator
- Robust and efficient estimation by minimising a density power divergence
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Covariate association eliminating weights: a unified weighting framework for causal effect estimation
- Inverse Probability Tilting for Moment Condition Models with Missing Data
- A unified framework for efficient estimation of general treatment models
- Non-parametric Methods for Doubly Robust Estimation of Continuous Treatment Effects
- Uniformly Semiparametric Efficient Estimation of Treatment Effects With a Continuous Treatment
- Large Sample Properties of Matching Estimators for Average Treatment Effects
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
- Causal Inference With General Treatment Regimes
This page was built for publication: Estimating Density Ratio of Marginals to Joint: Applications to Causal Inference