Bayesian Missing Data Problems
Guo-Liang Tian, Kai Wang Ng, Ming T. Tan
Taylor & Francis Ltd, 2009
220,75 €On orderDelivery: 2-3 weeks
Presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors, based on the inverse Bayes formulae. This work focuses on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative sampling approach via EM-type algorithms.
- ISBN-13
- 9781420077490
- ISBN-10
- 142007749X
- Publisher
- Taylor & Francis Ltd
- Year
- 2009
- Publication date
- 2009-08-26
- Pages
- 346
- Dimensions
- 243x164x24
- Weight
- 628