Bayesian Approaches to Shrinkage and Sparse Estimation by Dimitris Korobilis (En
82,60 €
By Dimitris Korobilis, Kenichi Shimizu. The authors begin with a linear regression setting in order to introduce various classes of priors that lead to shrinkage/sparse estimators of comparable value to popular penalized likelihood estimators (e.g. ridge, LASSO).
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