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Help with understanding a procedure in probability


Help with understanding and studying probabilityUnderstanding Chebyshev's Theoremhelp understanding probabilityWhat is the variance of an arbitrary “good” function of several independent normally distributed random variablesAn equality from the well-known analysis of variance formulaBiased estimator of the Variance of a Gaussian DistributionFinding stationary distribution of the following stochastic process?A probability question - help with understandingTransformation of random variables in entropy termBishop - Pattern Recognition & Machine Learning, Exercise 1.4













0












$begingroup$


I'm reading a book but I probably don't remember all the math needed to solve this.
The book says that:



x, y are two random variables such that y=g(x) where g is an invertible, continuous and differentiable transformation.



We have this property:
$|p_y(g(x))dy| = |p_x(x)dx|$ (1)



And solving from the equation you obtain:
$p_y(y)=p_x(g^-1(y))left|dfracpartial xpartial y right| $ (2)



or equivalently



$p_x(x)=p_y(g(x))left|dfracpartial g(x)partial x right|$ (3)



Passing from (1) to (2) I'm not sure how to deal with the differentials.



And passing from (2) to (3) i'm almost completely lost.



Can you please help me?










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    I'm reading a book but I probably don't remember all the math needed to solve this.
    The book says that:



    x, y are two random variables such that y=g(x) where g is an invertible, continuous and differentiable transformation.



    We have this property:
    $|p_y(g(x))dy| = |p_x(x)dx|$ (1)



    And solving from the equation you obtain:
    $p_y(y)=p_x(g^-1(y))left|dfracpartial xpartial y right| $ (2)



    or equivalently



    $p_x(x)=p_y(g(x))left|dfracpartial g(x)partial x right|$ (3)



    Passing from (1) to (2) I'm not sure how to deal with the differentials.



    And passing from (2) to (3) i'm almost completely lost.



    Can you please help me?










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      I'm reading a book but I probably don't remember all the math needed to solve this.
      The book says that:



      x, y are two random variables such that y=g(x) where g is an invertible, continuous and differentiable transformation.



      We have this property:
      $|p_y(g(x))dy| = |p_x(x)dx|$ (1)



      And solving from the equation you obtain:
      $p_y(y)=p_x(g^-1(y))left|dfracpartial xpartial y right| $ (2)



      or equivalently



      $p_x(x)=p_y(g(x))left|dfracpartial g(x)partial x right|$ (3)



      Passing from (1) to (2) I'm not sure how to deal with the differentials.



      And passing from (2) to (3) i'm almost completely lost.



      Can you please help me?










      share|cite|improve this question









      $endgroup$




      I'm reading a book but I probably don't remember all the math needed to solve this.
      The book says that:



      x, y are two random variables such that y=g(x) where g is an invertible, continuous and differentiable transformation.



      We have this property:
      $|p_y(g(x))dy| = |p_x(x)dx|$ (1)



      And solving from the equation you obtain:
      $p_y(y)=p_x(g^-1(y))left|dfracpartial xpartial y right| $ (2)



      or equivalently



      $p_x(x)=p_y(g(x))left|dfracpartial g(x)partial x right|$ (3)



      Passing from (1) to (2) I'm not sure how to deal with the differentials.



      And passing from (2) to (3) i'm almost completely lost.



      Can you please help me?







      probability






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Mar 21 at 12:49









      Diego MoyaDiego Moya

      11




      11




















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