CrossCat: A fully Bayesian nonparametric method for analyzing heterogeneous, high dimensional data
There is a widespread need for statistical methods that can analyze high-dimensional datasets without imposing restrictive or opaque modeling assumptions. This paper describes a domain-general data analysis method called CrossCat. CrossCat infers multiple non-overlapping views of the data, each cons...
| Main Authors: | , , , , , |
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| 格式: | 文件 |
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MIT Press
2017
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| 在线阅读: | http://hdl.handle.net/1721.1/112621 https://orcid.org/0000-0002-1925-2035 |