We a good story
Quick delivery in the UK

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

About Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real--world examples which do not feature in many standard texts.

Show more
  • Language:
  • English
  • ISBN:
  • 9780470090435
  • Binding:
  • Hardback
  • Pages:
  • 440
  • Published:
  • July 22, 2004
  • Dimensions:
  • 321x162x29 mm.
  • Weight:
  • 734 g.
Delivery: 2-4 weeks
Expected delivery: December 19, 2024

Description of Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real--world examples which do not feature in many standard texts.

User ratings of Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives



Find similar books
The book Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives can be found in the following categories:

Join thousands of book lovers

Sign up to our newsletter and receive discounts and inspiration for your next reading experience.