Bayesian nonparametrics for causal inference and missing data. (2023)
- Record Type:
- Book
- Title:
- Bayesian nonparametrics for causal inference and missing data. (2023)
- Main Title:
- Bayesian nonparametrics for causal inference and missing data
- Further Information:
- Note: Michael J. Daniels, Antonio Linero, Jason Roy.
- Authors:
- Daniels, Michael Joseph
Linero, Antonio
Roy, Jason (Jason Allen) - Contents:
- 1. Overview of Causal Inference 2. Overview of Missing Data 3. Overview of Bayesian Inference for Missing Data and Causal Inference 4. Identifiability and Sensitivity Analysis 5. Bayesian Decision Trees and Their Ensembles 6. Dirichlet Process Mixtures and extensions 7. Gaussian process prior and Dependent Dirichlet processes 8. Causal Inference on Quantiles using Propensity scores 9. Causal Inference with a point treatment using an EDPM model 10. DDP+GP for causal inference using marginal structural models 11. DPMs for Dropout in Longitudinal Studies 12. DPMs for Non-Monotone Missingness;
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2023
- Extent:
- 1 online resource (252 pages), illustrations (black and white)
- Subjects:
- 519.542
Bayesian statistical decision theory
Missing observations (Statistics) - Languages:
- English
- ISBNs:
- 9781000927733
9781000927719 - Related ISBNs:
- 9780367341008
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.799788
- Ingest File:
- 20_053.xml