Nonparametric Bayesian Statistical Models in Biomedical Research
نویسندگان
چکیده
منابع مشابه
on some bayesian statistical models in actuarial science with emphasis on claim count
چکیده ندارد.
15 صفحه اولBayesian Nonparametric Models
‘ We have been looking at models that posit latent structure in high dimensional data. We use the posterior to uncover that structure. ‘ The two main types are mixtures (and variants, like mixed-membership) and factor models (like PCA, factor analysis, and others). ‘ A nagging concern for these methods is model selection—how do I choose the number of mixture components? the number of factors? ‘...
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The prior distribution is an essential ingredient of any Bayesian analysis, and it plays a major role in determining the final results. As such, Bayesians attempt to use prior distributions that have certain properties. Perhaps the main property is a desire to accurately reflect prior information, i.e., information external to the experiment at hand. We would supplement this vague property with...
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A Bayesian nonparametric model is a Bayesian model on an infinite-dimensional parameter space. The parameter space is typically chosen as the set of all possible solutions for a given learning problem. For example, in a regression problem the parameter space can be the set of continuous functions, and in a density estimation problem the space can consist of all densities. A Bayesian nonparametr...
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ژورنال
عنوان ژورنال: Korean Journal of Applied Statistics
سال: 2014
ISSN: 1225-066X
DOI: 10.5351/kjas.2014.27.6.867