Description Usage Arguments Value References Examples
Apply hard-thresholding operator on a covariance matrix with a hard-thresholding parameter.
1 | hard.thresholding(sigma, threshold = 0.5)
|
sigma |
a p*p covariance matrix |
threshold |
hard-thresholding parameter |
a regularized covariance matrix after hard-thresholding operation
"High-Dimensional Covariance Estimation" by Mohsen Pourahmadi
1 2 3 | data(m.excess.c10sp9003)
cov.SAM <- cov(m.excess.c10sp9003)
hard.thresholding(cov.SAM, threshold = 0.001)
|
ABT LLY MRK PFE F GM
ABT 0.003849144 0.002358448 0.002577117 0.002252874 0.001090666 0.000000000
LLY 0.002358448 0.007539936 0.003684256 0.003628045 0.001959017 0.000000000
MRK 0.002577117 0.003684256 0.005938573 0.003512366 0.001431143 0.000000000
PFE 0.002252874 0.003628045 0.003512366 0.005748276 0.001548756 0.000000000
F 0.001090666 0.001959017 0.001431143 0.001548756 0.009537283 0.005569539
GM 0.000000000 0.000000000 0.000000000 0.000000000 0.005569539 0.008619721
BP 0.000000000 0.000000000 0.000000000 0.001271657 0.001164096 0.000000000
CVX 0.000000000 0.000000000 0.000000000 0.001232198 0.001333297 0.000000000
RD 0.001151858 0.000000000 0.001278300 0.001775849 0.001711478 0.001000459
XOM 0.000000000 0.000000000 0.000000000 0.000000000 0.001143911 0.000000000
SP5 0.001073751 0.001319841 0.001386899 0.001595613 0.002285463 0.001960115
BP CVX RD XOM SP5
ABT 0.000000000 0.000000000 0.001151858 0.000000000 0.001073751
LLY 0.000000000 0.000000000 0.000000000 0.000000000 0.001319841
MRK 0.000000000 0.000000000 0.001278300 0.000000000 0.001386899
PFE 0.001271657 0.001232198 0.001775849 0.000000000 0.001595613
F 0.001164096 0.001333297 0.001711478 0.001143911 0.002285463
GM 0.000000000 0.000000000 0.001000459 0.000000000 0.001960115
BP 0.003970361 0.002477400 0.002604273 0.001533385 0.001083480
CVX 0.002477400 0.003137048 0.002476966 0.001573784 0.001130743
RD 0.002604273 0.002476966 0.003613893 0.001684913 0.001501201
XOM 0.001533385 0.001573784 0.001684913 0.001912150 0.000000000
SP5 0.001083480 0.001130743 0.001501201 0.000000000 0.001874430
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