Upperbound expected value of sum of standard normal variables to the power of 2p











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$X_{i}$ is a sequence of independent standard normal random variables and $S_{n}=sum_{i=1}^{n} X_{i}$. I have to show that there exists a constant $C_{p}$ such that for all integers $pgeq 1$ the following holds:



$mathbb{E}((max_{1 leq k leq n} S_{k})^{2p}) leq C_{p}n^{p}$



Could anybody help solving this problem?










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    up vote
    0
    down vote

    favorite












    $X_{i}$ is a sequence of independent standard normal random variables and $S_{n}=sum_{i=1}^{n} X_{i}$. I have to show that there exists a constant $C_{p}$ such that for all integers $pgeq 1$ the following holds:



    $mathbb{E}((max_{1 leq k leq n} S_{k})^{2p}) leq C_{p}n^{p}$



    Could anybody help solving this problem?










    share|cite|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      $X_{i}$ is a sequence of independent standard normal random variables and $S_{n}=sum_{i=1}^{n} X_{i}$. I have to show that there exists a constant $C_{p}$ such that for all integers $pgeq 1$ the following holds:



      $mathbb{E}((max_{1 leq k leq n} S_{k})^{2p}) leq C_{p}n^{p}$



      Could anybody help solving this problem?










      share|cite|improve this question













      $X_{i}$ is a sequence of independent standard normal random variables and $S_{n}=sum_{i=1}^{n} X_{i}$. I have to show that there exists a constant $C_{p}$ such that for all integers $pgeq 1$ the following holds:



      $mathbb{E}((max_{1 leq k leq n} S_{k})^{2p}) leq C_{p}n^{p}$



      Could anybody help solving this problem?







      probability statistics






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      share|cite|improve this question










      asked Nov 22 at 11:34









      OBergh

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