437 research outputs found
Posterior Covariance Information Criterion
We introduce an information criterion, PCIC, for predictive evaluation based
on quasi-posterior distributions. It is regarded as a natural generalisation of
the widely applicable information criterion (WAIC) and can be computed via a
single Markov chain Monte Carlo run. PCIC is useful in a variety of predictive
settings that are not well dealt with in WAIC, including weighted likelihood
inference and quasi-Bayesian predictio
Posterior Covariance Information Criterion
ISM Online Open House, 2021.6.18統計数理研究所オープンハウス(オンライン開催)、R3.6.18ポスター発
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