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?
probability statistics
add a comment |
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?
probability statistics
$X_{i}$ 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
probability statistics
asked Nov 22 at 11:34
OBergh
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11
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