WaicCompare: Compare WAIC

In NetworkChange: Bayesian Package for Network Changepoint Analysis

Compare WAIC

Description

Compare Widely Applicable Information Criterion

Usage

WaicCompare(outlist)

Arguments

outlist

List of NetworkChange objects

Value

Results of WAIC computation

A matrix of log marginal likelihoods.

References

Sumio Watanabe. 2010. "Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory." Journal of Machine Learning Research. 11: 3571-3594.

Andrew Gelman, Jessica Hwang, and Aki Vehtari. 2014. "Understanding predictive information criteria for Bayesian models." Statistics and Computing. 24(6):997-1016.

Jong Hee Park and Yunkyun Sohn. 2020. "Detecting Structural Change in Longitudinal Network Data." Bayesian Analysis. Vol.15, No.1, pp.133-157.

See Also

MarginalCompare

NetworkChange documentation built on March 18, 2022, 7:52 p.m.