improper prior造句
例句与造句
- Statisticians sometimes use improper priors as uninformative priors.
- Sometimes the Jeffreys prior cannot be normalized, and is thus an improper prior.
- However, if applied with infinite limits, it often gives improper prior distributions.
- By contrast, generalized Bayes rules often have undefined Bayes risk in the case of improper priors.
- As most ABC procedures require generating samples from the prior, improper priors are not directly applicable to ABC.
- It's difficult to find improper prior in a sentence. 用improper prior造句挺难的
- However, the above equation is not the same as an improper prior or normal distribution with infinite variance.
- The use of improper priors is often justified by saying that the information from the data dominates the information from the prior.
- The American Civil Liberties Union of Minnesota called the mall's lawsuit an " improper prior restraint on speech " and an unconstitutional overreach.
- This induces the group structure of the translation group on " X ", which determines the prior probability as a constant improper prior.
- Conversely, while Bayes rules with respect to proper priors are virtually always admissible, generalized Bayes rules corresponding to improper priors need not yield admissible procedures.
- In Bayesian statistics, Bayes'rule is often applied with a so-called improper prior, for instance, a uniform probability distribution over all real numbers.
- This is a so-called improper prior distribution : probability calculus breaks down; expectation values are not even defined; see Falk and Konold and ( 1982 ).
- The petition, parts of which were filed under seal, asks Rehnquist to lift the order, asserting that it is an improper prior restraint on the paper's First Amendment rights.
- The Haldane prior probability distribution Beta ( 0, 0 ) is an " improper prior " because its integration ( from 0 to 1 ) fails to strictly converge to 1 due to the Dirac delta function singularities at each end.
- To clarify the exposition, Gott s vague prior " N " distribution is capped at some universal carrying capacity , \ Omega . ( This prevents " N " s distribution being an improper prior .)
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