Ridge Estimation

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Cscottmcwall-ea
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Ridge Estimation

Postby Cscottmcwall-ea » Wed Apr 10, 2024 9:05 am

Hi

When estimating a ridge equation I was wondering what the L1 and L2 options for regressor transformation do

Thanks

EViews Glenn
EViews Developer
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Re: Ridge Estimation

Postby EViews Glenn » Wed Apr 10, 2024 10:44 am

They scale the regressors by the L1 and L2 norms of the data, respectively, prior to estimation. So the penalties on parameters will be on coefficients that are for scaled data. The coefficients are transformed back to original scale for reporting.

Hope that this answers your question.

EViews Gareth
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Re: Ridge Estimation

Postby EViews Gareth » Wed Apr 10, 2024 10:55 am

Where L1 is the sum of the absolute values, and L2 is the square root of the sum of the squares.
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Cscottmcwall-ea
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Joined: Mon Mar 11, 2024 6:09 am

Re: Ridge Estimation

Postby Cscottmcwall-ea » Thu Apr 11, 2024 1:04 am

yea that makes sense, thanks Gareth


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