Bayesian updating is rewritten as a temperature-dependent partition function, yielding an effective dimension that quantifies how non-Gaussian a posterior is.
o ver , author L. C. Bartels , and author B. M. Sch \
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.stat-mech 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Partition function approach to non-Gaussian likelihoods: information theory and state variables for Bayesian inference
Bayesian updating is rewritten as a temperature-dependent partition function, yielding an effective dimension that quantifies how non-Gaussian a posterior is.