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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- Fitting Linear Mixed-Effects Models Using lme4→Bayesian Data AnalysisLegacy edge — source detail unavailable
- Latent dirichlet allocation→Bayesian Data AnalysisLegacy edge — source detail unavailable
- Multimodel Inference→Bayesian Data AnalysisLegacy edge — source detail unavailable
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Lapl…→Bayesian Data AnalysisLegacy edge — source detail unavailable
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility→Bayesian Data AnalysisLegacy edge — source detail unavailable
- One-shot learning of object categories→Bayesian Data AnalysisLegacy edge — source detail unavailable
- Fitting Linear Mixed-Effects Models Using lme4→Bayesian Data AnalysisLegacy edge — source detail unavailable
- Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criter…→Bayesian Data AnalysisLegacy edge — source detail unavailable
- Probabilistic machine learning and artificial intelligence→Bayesian Data AnalysisLegacy edge — source detail unavailable
- How to Grow a Mind: Statistics, Structure, and Abstraction→Bayesian Data AnalysisLegacy edge — source detail unavailable
- AD Model Builder: using automatic differentiation for statistical inference of highly par…→Bayesian Data AnalysisLegacy edge — source detail unavailable
- Variational Algorithms for Approximate Bayesian Inference→Bayesian Data AnalysisLegacy edge — source detail unavailable
- R2WinBUGS : A Package for Running WinBUGS from R→Bayesian Data AnalysisLegacy edge — source detail unavailable
- The Unscented Particle Filter→Bayesian Data AnalysisLegacy edge — source detail unavailable
- Bayesian Data Analysis→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
- Probabilistic machine learning and artificial intelligence→WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibilityLegacy edge — source detail unavailable
- Probabilistic machine learning and artificial intelligence→How to Grow a Mind: Statistics, Structure, and AbstractionLegacy edge — source detail unavailable
- Variational Algorithms for Approximate Bayesian Inference→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Lapl…→Variational Algorithms for Approximate Bayesian InferenceLegacy edge — source detail unavailable
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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