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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.

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  • Language:
  • English
  • ISBN:
  • 9780470090435
  • Binding:
  • Hardback
  • Pages:
  • 440
  • Published:
  • July 22, 2004
  • Dimensions:
  • 321x162x29 mm.
  • Weight:
  • 734 g.
Delivery: 2-4 weeks
Expected delivery: November 29, 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.

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