A Bayesian Nonparametric Causal Model for Regression Discontinuity Designs
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Publication:2800208
DOI10.1007/978-3-319-19518-6_20zbMath1338.62178arXiv1311.4482OpenAlexW48077113MaRDI QIDQ2800208
George Karabatsos, Stephen G. Walker
Publication date: 15 April 2016
Published in: Nonparametric Bayesian Inference in Biostatistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1311.4482
Design of statistical experiments (62K99) Bayesian inference (62F15) Nonparametric inference (62G99)
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Cites Work
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- Regression discontinuity designs: a guide to practice
- ``Waiting for life to arrive: a history of the regression-discontinuity design in psychology, statistics and economics
- Randomized experiments from non-random selection in U.S. House elections
- For objective causal inference, design trumps analysis
- Bayesian inference for causal effects: The role of randomization
- Comment on J. Neyman and causal inference in experiments and observational studies: On the application of probability theory to agricultural experiments. Essay on principles. Section 9 [Ann. Agric. Sci. 10 (1923), 1--51]
- Adaptive-modal Bayesian nonparametric regression
- Selection bias in evaluating treatment effects: Some formal illustrations
- Causal Inference Without Counterfactuals
- Gibbs Sampling Methods for Stick-Breaking Priors
- Influence Diagrams for Causal Modelling and Inference
- On nonparametric Bayesian inference for the distribution of a random sample
- An ANOVA Model for Dependent Random Measures