Subset Selection of ARMA Models via a More Robust Choice of LASSO

碩士 === 東海大學 === 統計學系 === 104 === In statistical model-building, keeping accuracy of model prediction and choosing significant variables are essential topics. Least Absolute Shrinkage and Selection Operator (Lasso) can improve model prediction and find out significant variables. By further using the...

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Bibliographic Details
Main Authors: Hsieh, Shang-Ju, 謝尚儒
Other Authors: Huang, Yu-Min
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/264jg3