Bayessche Ansätze zur Schrumpfung und spärlichen Schätzung (Grundlagen und Trends
88,45 €
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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