Timeline for Maximal inequality for the average of i.i.d. random variables
Current License: CC BY-SA 4.0
14 events
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Nov 15, 2018 at 1:40 | vote | accept | Xiao | ||
Nov 14, 2018 at 20:02 | answer | added | fedja | timeline score: 7 | |
Nov 14, 2018 at 1:16 | comment | added | fedja | @MattF. The Gaussian case is not too difficult (if one doesn't care about the best $\alpha$). The general case can, probably, be obtained by the CLT approximation, but the resulting argument looks too ugly to post ;-( | |
Nov 13, 2018 at 22:44 | history | edited | Xiao | CC BY-SA 4.0 |
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Nov 13, 2018 at 19:58 | comment | added | fedja | Something more should be assumed in general (because if all $Z_j=0$ with probability $1$, then you are out of luck). On the other hand, if you have bounded density and quickly decaying tails (as it seems to be the case), it becomes an interesting question. | |
Nov 13, 2018 at 18:56 | comment | added | user44143 | If Z is normal, the left hand side could be called “the price of a binary option with a discrete Asian barrier on a Brownian-motion asset”. Unfortunately the papers on “discrete Asian barrier options” don’t seem to address this case. | |
Nov 13, 2018 at 18:42 | history | edited | Xiao | CC BY-SA 4.0 |
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Nov 13, 2018 at 17:01 | history | edited | Xiao | CC BY-SA 4.0 |
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Nov 13, 2018 at 6:43 | history | edited | Xiao | CC BY-SA 4.0 |
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Nov 13, 2018 at 2:44 | history | edited | Xiao | CC BY-SA 4.0 |
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Nov 13, 2018 at 2:33 | history | edited | Xiao | CC BY-SA 4.0 |
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Nov 12, 2018 at 22:22 | history | asked | Xiao | CC BY-SA 4.0 |