English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Bayesian statistics has two common measures of central tendency of aposterior distribution: posterior means and Maximum A Posteriori (MAP)estimates. In this paper, we discuss a connection between MAP estimates andposterior means. We derive an asymptotic condition for a pair of priordensities under which the posterior mean based on one prior coincides with theMAP estimate based on the other prior. A sufficient condition for the existenceof this prior pair relates to $\alpha$-flatness of the statistical model ininformation geometry. We also construct a matching prior pair using$\alpha$-parallel priors. Our result elucidates an interesting connectionbetween regularization in generalized linear regression models and posteriorexpectation.

Matching prior pairs connecting Maximum A Posteriori estimation and posterior expectation