Estimating a treatment effect under uncertainty with application to a high‐speed railway system

DOI10.1002/cjs.11214zbMath1349.62580OpenAlexW2010794999MaRDI QIDQ5166419

Koji Miyawaki

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

zbMATH Keywords

Bayesian analysistreatment effecthigh-speed railway

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Bayesian inference (62F15)

Uses Software

• Ox

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)

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