p-values from a wishart distribution












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I am not a statistician but try to apply some multivariate statistics in order to find outliers (abnormal distances) in a distance matrix.
Here is my problem:
I have a $p times p$ matrix $D$ of distances between random samples of size $n$. If I understood well, the elements of the inverse matrix should follow a Wishart distribution $Wp(V,ν)$. Let's assume I know $V$ and $v=n$.




I have 2 questions:




  1. Is it correct to generate a matrix of numbers following the same Wishart distribution, taking the empirical cumulative distribution function and identify outliers in this matrix using the e.c.d.f.?


  2. I read somewhere that any submatrix of a matrix following Wishart distribution is folowing the same distribution (Wishart with same parameters). Does the submatrix having the same ecdf ?


  3. Is there a simpler way get p-values for each of my pairwise distances?





Thank you!










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    $begingroup$


    I am not a statistician but try to apply some multivariate statistics in order to find outliers (abnormal distances) in a distance matrix.
    Here is my problem:
    I have a $p times p$ matrix $D$ of distances between random samples of size $n$. If I understood well, the elements of the inverse matrix should follow a Wishart distribution $Wp(V,ν)$. Let's assume I know $V$ and $v=n$.




    I have 2 questions:




    1. Is it correct to generate a matrix of numbers following the same Wishart distribution, taking the empirical cumulative distribution function and identify outliers in this matrix using the e.c.d.f.?


    2. I read somewhere that any submatrix of a matrix following Wishart distribution is folowing the same distribution (Wishart with same parameters). Does the submatrix having the same ecdf ?


    3. Is there a simpler way get p-values for each of my pairwise distances?





    Thank you!










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      I am not a statistician but try to apply some multivariate statistics in order to find outliers (abnormal distances) in a distance matrix.
      Here is my problem:
      I have a $p times p$ matrix $D$ of distances between random samples of size $n$. If I understood well, the elements of the inverse matrix should follow a Wishart distribution $Wp(V,ν)$. Let's assume I know $V$ and $v=n$.




      I have 2 questions:




      1. Is it correct to generate a matrix of numbers following the same Wishart distribution, taking the empirical cumulative distribution function and identify outliers in this matrix using the e.c.d.f.?


      2. I read somewhere that any submatrix of a matrix following Wishart distribution is folowing the same distribution (Wishart with same parameters). Does the submatrix having the same ecdf ?


      3. Is there a simpler way get p-values for each of my pairwise distances?





      Thank you!










      share|cite|improve this question











      $endgroup$




      I am not a statistician but try to apply some multivariate statistics in order to find outliers (abnormal distances) in a distance matrix.
      Here is my problem:
      I have a $p times p$ matrix $D$ of distances between random samples of size $n$. If I understood well, the elements of the inverse matrix should follow a Wishart distribution $Wp(V,ν)$. Let's assume I know $V$ and $v=n$.




      I have 2 questions:




      1. Is it correct to generate a matrix of numbers following the same Wishart distribution, taking the empirical cumulative distribution function and identify outliers in this matrix using the e.c.d.f.?


      2. I read somewhere that any submatrix of a matrix following Wishart distribution is folowing the same distribution (Wishart with same parameters). Does the submatrix having the same ecdf ?


      3. Is there a simpler way get p-values for each of my pairwise distances?





      Thank you!







      probability probability-distributions random-matrices






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      share|cite|improve this question













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      edited Dec 7 '18 at 4:08







      user2913299

















      asked Dec 7 '18 at 3:37









      user2913299user2913299

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