Understanding Predictive Information Criteria for Bayesian Models

Gelman, A., Hwang, J., & Vehtari, A. (2014). Understanding Predictive Information Criteria for Bayesian Models. Statistics and Computing, 997-1016.

Type

Journal article

Intellectual base

Primary research

Year

2014

DOI

10.1007/s11222-013-9416-2

Link

https://doi.org/10.1007/s11222-013-9416-2

Cited by

1 citation across 1 artifact.

Domain-specific

• Deviance Information Criterion
  • Conversely, a mixture model can yield nonsensical (p_D) because the posterior mean is not a representative fitted state.

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