Bayesian Inference in Statistical Analysis

Box, G. E. P., & Tiao, G. C. (1973). Bayesian Inference in Statistical Analysis. Addison-Wesley.

Type

Book

Intellectual base

Textbook

Year

1973

DOI

10.1002/9781118033197

ISBN

9780471574286

DOI registrant

Wiley

Link

https://doi.org/10.1002/9781118033197

Cited from

statistics_experimental_design

Cited by

2 citations across 2 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Distributional Assumption
  • Across all domains, the same trade-off appears: assume structure to enable tractable inference, at the cost of model misspecification, as Box and Tiao (1973) traced explicitly across their unified Bayesian treatment of statistical models.

    This sourceUnified Bayesian treatment across modeling domains (regression, ANOVA, time series, multivariate): systematizes the recurring tractability-versus-misspecification trade-off underlying every distributional commitment.

Domain-specific

• Bayesian linear regression
  • … that the response and design, likelihood and error structure, coefficient and variance priors, conditioning data, posterior computation, identifiability, and predictive target are explicit. to An applied instance preserves the same invariant under a changed scale, notation, jurisdiction, dataset, or implementation..

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