A Student's Guide to Bayesian Statistics

Lambert, B. (2018). A Student's Guide to Bayesian Statistics. Sage.

Type

Book

Intellectual base

Review or monograph

Year

2018

Link

no authoritative link yet

Cited by

2 citations across 2 artifacts.

Domain-specific

• Marginal likelihood
  • … and a convenient observable transfers from A canonical case directly satisfies that the likelihood, proper prior, measure, parameterization, and integration all belong to the same fully specified model. to An applied case preserves the same condition while changing incidental scale, notation, or implementation..
• Posterior probability
  • Posterior probability is conditional probability given observed evidence, proportional to prior probability times likelihood.

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