Estimating a treatment effect under uncertainty with application to a high‐speed railway system
From MaRDI portal
Publication:5166419
DOI10.1002/cjs.11214zbMath1349.62580OpenAlexW2010794999MaRDI QIDQ5166419
Publication date: 26 June 2014
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.11214
Uses Software
Cites Work
- Unnamed Item
- Bayesian inference for causal effects in randomized experiments with noncompliance
- Analysis of treatment response data from eligibility designs
- Analysis of treatment response data without the joint distribution of potential outcomes
- Modeling and calculating the effect of treatment at baseline from panel outcomes
- Bayesian analysis of cross-section and clustered data treatment models
- A Bayesian analysis of the multinomial probit model with fully identified parameters
- Marginal Likelihood from the Gibbs Output
- Monotone Treatment Response
- Bayesian Measures of Model Complexity and Fit
- The Evaluation of General Non-Centred Orthant Probabilities
- Bayesian Model Selection and Statistical Modeling
- Parameterization and Bayesian Modeling
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
This page was built for publication: Estimating a treatment effect under uncertainty with application to a high‐speed railway system