Generating Two Independent Standard Normal Variables












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I have a problem with this explanation, the book says we can generate Y1 Y2 from X1 X2
but when we want to answer questions about the distribution of X1 X2 we take arctan which returns values in range (-PI/2,PI/2) even though we X1 X2 range is (0,1) I understand it makes no difference in the part when we calculate uniform pdf from inverse since it is 1 for each X1 X2 but I can't understand how it works in Jacobian. I think author made jump here and didn't want to go into details










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  • 1




    $begingroup$
    this process is Box-Muller transform
    $endgroup$
    – Adam Jochna
    Dec 2 '18 at 1:47
















0












$begingroup$


Image of problem



I have a problem with this explanation, the book says we can generate Y1 Y2 from X1 X2
but when we want to answer questions about the distribution of X1 X2 we take arctan which returns values in range (-PI/2,PI/2) even though we X1 X2 range is (0,1) I understand it makes no difference in the part when we calculate uniform pdf from inverse since it is 1 for each X1 X2 but I can't understand how it works in Jacobian. I think author made jump here and didn't want to go into details










share|cite|improve this question









$endgroup$








  • 1




    $begingroup$
    this process is Box-Muller transform
    $endgroup$
    – Adam Jochna
    Dec 2 '18 at 1:47














0












0








0





$begingroup$


Image of problem



I have a problem with this explanation, the book says we can generate Y1 Y2 from X1 X2
but when we want to answer questions about the distribution of X1 X2 we take arctan which returns values in range (-PI/2,PI/2) even though we X1 X2 range is (0,1) I understand it makes no difference in the part when we calculate uniform pdf from inverse since it is 1 for each X1 X2 but I can't understand how it works in Jacobian. I think author made jump here and didn't want to go into details










share|cite|improve this question









$endgroup$




Image of problem



I have a problem with this explanation, the book says we can generate Y1 Y2 from X1 X2
but when we want to answer questions about the distribution of X1 X2 we take arctan which returns values in range (-PI/2,PI/2) even though we X1 X2 range is (0,1) I understand it makes no difference in the part when we calculate uniform pdf from inverse since it is 1 for each X1 X2 but I can't understand how it works in Jacobian. I think author made jump here and didn't want to go into details







statistics random-variables random






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asked Dec 2 '18 at 1:46









Adam JochnaAdam Jochna

1




1








  • 1




    $begingroup$
    this process is Box-Muller transform
    $endgroup$
    – Adam Jochna
    Dec 2 '18 at 1:47














  • 1




    $begingroup$
    this process is Box-Muller transform
    $endgroup$
    – Adam Jochna
    Dec 2 '18 at 1:47








1




1




$begingroup$
this process is Box-Muller transform
$endgroup$
– Adam Jochna
Dec 2 '18 at 1:47




$begingroup$
this process is Box-Muller transform
$endgroup$
– Adam Jochna
Dec 2 '18 at 1:47










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$begingroup$


arctan which returns values in range (-PI/2,PI/2)




Actually the inverse trigonometric functions can be defined with several ranges. In your formula, it's clear that they are taking the range $[0,2pi]$



Regarding the Jacobian (and the proof in general) of this Box-Muller transform, there are many answers:



Box-Muller Transform Normality



proof of Box–Muller transform (polar form)



https://stats.stackexchange.com/questions/188183/some-details-about-the-box-muller-transform-method






share|cite|improve this answer











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    1 Answer
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    0












    $begingroup$


    arctan which returns values in range (-PI/2,PI/2)




    Actually the inverse trigonometric functions can be defined with several ranges. In your formula, it's clear that they are taking the range $[0,2pi]$



    Regarding the Jacobian (and the proof in general) of this Box-Muller transform, there are many answers:



    Box-Muller Transform Normality



    proof of Box–Muller transform (polar form)



    https://stats.stackexchange.com/questions/188183/some-details-about-the-box-muller-transform-method






    share|cite|improve this answer











    $endgroup$


















      0












      $begingroup$


      arctan which returns values in range (-PI/2,PI/2)




      Actually the inverse trigonometric functions can be defined with several ranges. In your formula, it's clear that they are taking the range $[0,2pi]$



      Regarding the Jacobian (and the proof in general) of this Box-Muller transform, there are many answers:



      Box-Muller Transform Normality



      proof of Box–Muller transform (polar form)



      https://stats.stackexchange.com/questions/188183/some-details-about-the-box-muller-transform-method






      share|cite|improve this answer











      $endgroup$
















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        0








        0





        $begingroup$


        arctan which returns values in range (-PI/2,PI/2)




        Actually the inverse trigonometric functions can be defined with several ranges. In your formula, it's clear that they are taking the range $[0,2pi]$



        Regarding the Jacobian (and the proof in general) of this Box-Muller transform, there are many answers:



        Box-Muller Transform Normality



        proof of Box–Muller transform (polar form)



        https://stats.stackexchange.com/questions/188183/some-details-about-the-box-muller-transform-method






        share|cite|improve this answer











        $endgroup$




        arctan which returns values in range (-PI/2,PI/2)




        Actually the inverse trigonometric functions can be defined with several ranges. In your formula, it's clear that they are taking the range $[0,2pi]$



        Regarding the Jacobian (and the proof in general) of this Box-Muller transform, there are many answers:



        Box-Muller Transform Normality



        proof of Box–Muller transform (polar form)



        https://stats.stackexchange.com/questions/188183/some-details-about-the-box-muller-transform-method







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Dec 2 '18 at 21:30

























        answered Dec 2 '18 at 2:55









        leonbloyleonbloy

        41.1k645107




        41.1k645107






























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