Hastie, Trevor <br/><br/>
Statistical learning with sparsity:  the lasso and generalizations/ 
Trevor Hastie, Stanford University, USA, Rob Tibshirani, Stanford University, USA, Martin Wainwright, University of California, Berkeley, USA. 
 - xv, 351 pages:  illustrations (some color);  25 cm. 
 - Chapman & Hall/CRC monographs on statistics & applied probability;  143 .
 - Monographs on statistics and applied probability;  143. .
<br/><br/> "A Chapman & Hall book." 
<br/><br/>Includes bibliographical references and indexes. 
<br/><br/><label>ISBN: </label>9781498712163 1498712169 
<br/><br/><label>LCCN: </label>2015014842 
<br/><br/><label>Nat. Bib. No.: </label>GBB565393  bnb 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical statistics<br/>Least squares.<br/>Linear models (Statistics)<br/>Proof theory<br/>Least squares.<br/>Linear models (Statistics)<br/>Mathematical statistics
<br/><br/><label>Dewey Class. No.: </label>519.5   / H356s