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>Nonparametric Bayes inference for concave distribution functions
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Nonparametric Bayes inference for concave distribution functions
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机译:凹分布函数的非参数贝叶斯推断
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摘要
Bayesian inference for concave distribution functions is investigated. This is made by transforming a mixture of Dirichlet processes on the space of distribution functions to the space of concave distribution functions. We give a method for sampling from the posterior distribution using a Pólya urn scheme in combination with a Markov chain Monte Carlo algorithm. The methods are extended to estimation of concave distribution functions for incompletely observed data.
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