Understanding equality regrading expectation of random matrices












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$begingroup$


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 -




  1. 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










share|cite|improve this question











$endgroup$

















    0












    $begingroup$


    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 -




    1. 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










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      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 -




      1. 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










      share|cite|improve this question











      $endgroup$




      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 -




      1. 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






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Jan 12 at 13:39







      Ori Kelner

















      asked Jan 12 at 13:30









      Ori KelnerOri Kelner

      12




      12






















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