Bayesian Data Analysis
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson low, Aki Vehtari, Donald B. Rubin
Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the book focuses on modern computational tools and obtains inferences using computer simulations. Its unique features include thorough discussions of the methods for
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What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference | 1988 | 16,981 |
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| Bayesian Modeling and Causal Inference | Computer Science |
| AI-based Problem Solving and Planning | Computer Science |
| Data Quality and Management | Decision Sciences |
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