Article ID Journal Published Year Pages File Type
7548687 Statistics & Probability Letters 2018 16 Pages PDF
Abstract
We discuss how latent variable models are useful to deal with the complexities of big data from different perspectives: simplification of data structure; flexible representation of dependence between variables; reduction of selection bias. Problems involved in parameter estimation are also discussed.
Keywords
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Preview
On the role of latent variable models in the era of big data
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