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network profile
| bio | website | |
|---|---|---|
| location | ||
| age | ||
| visits | member for | 6 months |
| seen | Apr 4 at 13:42 | |
| stats | profile views | 10 |
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Feb 11 |
asked | Minimizing L4/ L6/ L2N norm for linear regression |
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Feb 11 |
comment |
Orthonormal Matrix weighted regression $Q$ is an $m \times n$ matrix with $m>>n$. |
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Feb 11 |
comment |
Orthonormal Matrix weighted regression I think they are right but I could be making a basic error. I used your comment to set the normal equation up as $x=Q'W^{-1}QQ'Wb$. $QQ'$ is not $I$ as only the columns are orthonormal. Will appreciate if you can confirm that this makes sense. Thanks. |
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Feb 11 |
asked | Orthonormal Matrix weighted regression |
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Feb 11 |
accepted | QR factorization for ridge regression |
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Feb 11 |
comment |
QR factorization for ridge regression Yes I meant QR factorization of $\Delta$ from $A$. Poster Adam W has guided me in the correct direction. Thanks. |
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Feb 10 |
asked | QR factorization for ridge regression |
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Nov 29 |
awarded | Scholar |
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Nov 29 |
accepted | Correlated Poisson Distribution |
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Nov 27 |
awarded | Editor |
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Nov 27 |
comment |
Derivative of $H$ with respect to $W$ Thanks for pointing that out. |
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Nov 27 |
revised |
Derivative of $H$ with respect to $W$ edited title |
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Nov 27 |
asked | Derivative of $H$ with respect to $W$ |
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Nov 26 |
comment |
Correlated Poisson Distribution Michael, the simplest possibility was indeed what I had in mind. Thanks for the input learner. I have upvoted both and found this helpful after reading the answers Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R |
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Nov 26 |
awarded | Supporter |
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Nov 26 |
awarded | Student |
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Nov 26 |
asked | Correlated Poisson Distribution |
