hierarchical bayes造句

More advanced approaches include hierarchical Bayes models and Bayesian mixture models.
The proper solution is to start an article on hierarchical Bayes models.
This " shrinkage " is a typical behavior in hierarchical Bayes models.
Whether the hierarchical Bayes method confers a substantial advantage in practice remains controversial, however.
In 1997, Alan Montgomery used hierarchical Bayes models to improve the estimation procedures of price elasticities, showing that micromarketing strategies can increase gross profits.
It's difficult to find hierarchical bayes in a sentence. 用hierarchical bayes造句挺难的

Huelsenbeck and Bollback first proposed a hierarchical Bayes method to ancestral reconstruction by using Markov chain Monte Carlo ( MCMC ) methods to sample ancestral sequences from this joint posterior distribution.
In the hierarchical Bayes model, though not in the empirical Bayes approximation, the hyperparameters \ eta \, are considered to be drawn from an unparameterized distribution p ( \ eta ) \,.
A reader who searches for or is redirected to the empirical Bayes article as a result of this redirect is only going to be confused, and is not going to learn anything about hierarchical Bayes models.
The issue is particularly acute with hierarchical Bayes models; the usual priors ( e . g ., Jeffreys'prior ) may give badly inadmissible decision rules if employed at the higher levels of the hierarchy.
On the other hand, the hierarchical Bayes approach averages these probabilities over all possible trees and models of evolution, in proportion to how likely these trees and models are, given the data that has been observed.