Bayesian Regularization via Graph Laplacian
نویسندگان
چکیده
منابع مشابه
Bayesian Regularization via Graph Laplacian
Regularization plays a critical role in modern statistical research, especially in high dimensional variable selection problems. Existing Bayesian methods usually assume independence between variables a priori. In this article, we propose a novel Bayesian approach, which explicitly models the dependence structure through a graph Laplacian matrix. We also generalize the graph Laplacian to allow ...
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ژورنال
عنوان ژورنال: Bayesian Analysis
سال: 2014
ISSN: 1936-0975
DOI: 10.1214/14-ba860