Bayesian Social Science Statistics

Bayesian Social Science Statistics

From the Very Beginning

Bao, Le; Gill, Jeff

Cambridge University Press

05/2024

75

Dura

9781009494694

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Introduction: the purpose and scope of this book; 2. Basic probability principles and Bayes law; 3. What is a likelihood function and why care; 4. The core of Bayesian inference: prior times likelihood; 5. Prior probabilities and the progression of human knowledge; 6. Integrals and expected value: not as scary as they look; 7. Software calculation of Bayesian models; 8. Evaluating and comparing model results; 9. Case study I: election polling and Bayesian updating; References.
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