<p><span>Bayesian Nonparametrics for Causal Inference and Missing Data</span><span> provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data. This boo
Missing and modified data in nonparametric estimation
โ Scribed by Efromovich, Sam
- Publisher
- CRC Press
- Year
- 2018
- Tongue
- English
- Leaves
- 465
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content: Introduction. Estimation for Directly Observed Data. Estimation for Basic Models of Modified Data. Nondestructive Missing. Destructive Missing. Survival Analysis. Missing Data in Survival Analysis. Time Series Analysis. Ill-Posed Modifications.
โฆ Subjects
Missing observations (Statistics) -- Problems, exercises, etc.;Statistics -- Methodology -- Problems, exercises, etc.;Mathematical statistics -- Problems, exercises, etc.;Mathematical statistics.;Missing observations (Statistics);Statistics -- Methodology.;MATHEMATICS / Applied.;MATHEMATICS / Probability & Statistics / General.
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