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Found 5 papers, 3 papers with code
TSCI: two stage curvature identification for causal inference with invalid instruments
TSCI implements a two-stage algorithm.
Confidence and Uncertainty Assessment for Distributional Random Forests
The Distributional Random Forest (DRF) is a recently introduced Random Forest algorithm to estimate multivariate conditional distributions.
Treatment Effect Estimation with Observational Network Data using Machine Learning
Causal inference methods for treatment effect estimation usually assume independent units.
Double Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements
Traditionally, spline or kernel approaches in combination with parametric estimation are used to infer the linear coefficient (fixed effects) in a partially linear mixed-effects model for repeated measurements.
Regularizing Double Machine Learning in Partially Linear Endogenous Models
The linear coefficient in a partially linear model with confounding variables can be estimated using double machine learning (DML).
Methodology Statistics Theory Statistics Theory
