On posterior consistency in nonparametric regression problems
نویسندگان
چکیده
منابع مشابه
Posterior Consistency in Nonparametric Regression Problems under Gaussian Process Priors
Posterior consistency can be thought of as a theoretical justification of the Bayesian method. One of the most popular approaches to nonparametric Bayesian regression is to put a nonparametric prior distribution on the unknown regression function using Gaussian processes. In this paper, we study posterior consistency in nonparametric regression problems using Gaussian process priors. We use an ...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2007
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2007.01.004