Construct · 1 fields · 1 citations

Bernstein-von Mises theorem: a standalone construct

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Mathematical statistics

theorem that under regularity conditions the posterior distribution becomes approximately normal around an efficient estimate as data grow, so Bayesian and frequentist intervals agree.

In mathematical statistics, Bernstein-von Mises theorem refers to theorem that under regularity conditions the posterior distribution becomes approximately normal around an efficient estimate as data grow, so Bayesian and frequentist intervals agree. This meaning comes from Vaart (1998) in Asymptotic Statistics.[1]

Unit
Recovery means
Measured by

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Nearby constructs

distribution2 fields · 2 citationsjingle · one word, two constructs normal3 fields · 7 citationsjingle · one word, three constructs posterior2 fields · 2 citationsjingle · one word, two constructs

References

Vaart, A. W. v. d. (1998). Asymptotic Statistics. Cambridge University Press. https://doi.org/10.1017/cbo9780511802256

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