Understanding equality regrading expectation of random matrices
$begingroup$
I'm reading the following article on Latent Tree Structures (I added a link at the end of the post) :
"Spectral Methods for Learning Multivariate Latent Tree Structure".
I'm trying to understand the following equality (w,v,u are random vectors) :
https://i.stack.imgur.com/RR7BS.png
I don't get both equalities.
the following assumption holds -
- The following equality holds between w and v :
E[v|w] = A(v|w)*w
for a fixed matrix A(v|w).
But even with this assumption I can't see how can you get the previous mentioned equality.
Thanks for the help!
The article :
https://arxiv.org/pdf/1107.1283.pdf
matrices random expected-value
$endgroup$
add a comment |
$begingroup$
I'm reading the following article on Latent Tree Structures (I added a link at the end of the post) :
"Spectral Methods for Learning Multivariate Latent Tree Structure".
I'm trying to understand the following equality (w,v,u are random vectors) :
https://i.stack.imgur.com/RR7BS.png
I don't get both equalities.
the following assumption holds -
- The following equality holds between w and v :
E[v|w] = A(v|w)*w
for a fixed matrix A(v|w).
But even with this assumption I can't see how can you get the previous mentioned equality.
Thanks for the help!
The article :
https://arxiv.org/pdf/1107.1283.pdf
matrices random expected-value
$endgroup$
add a comment |
$begingroup$
I'm reading the following article on Latent Tree Structures (I added a link at the end of the post) :
"Spectral Methods for Learning Multivariate Latent Tree Structure".
I'm trying to understand the following equality (w,v,u are random vectors) :
https://i.stack.imgur.com/RR7BS.png
I don't get both equalities.
the following assumption holds -
- The following equality holds between w and v :
E[v|w] = A(v|w)*w
for a fixed matrix A(v|w).
But even with this assumption I can't see how can you get the previous mentioned equality.
Thanks for the help!
The article :
https://arxiv.org/pdf/1107.1283.pdf
matrices random expected-value
$endgroup$
I'm reading the following article on Latent Tree Structures (I added a link at the end of the post) :
"Spectral Methods for Learning Multivariate Latent Tree Structure".
I'm trying to understand the following equality (w,v,u are random vectors) :
https://i.stack.imgur.com/RR7BS.png
I don't get both equalities.
the following assumption holds -
- The following equality holds between w and v :
E[v|w] = A(v|w)*w
for a fixed matrix A(v|w).
But even with this assumption I can't see how can you get the previous mentioned equality.
Thanks for the help!
The article :
https://arxiv.org/pdf/1107.1283.pdf
matrices random expected-value
matrices random expected-value
edited Jan 12 at 13:39
Ori Kelner
asked Jan 12 at 13:30
Ori KelnerOri Kelner
12
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