Timeline for How to obtain tail bounds for a linear combination of dependent and bounded random variables?
Current License: CC BY-SA 3.0
12 events
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Jun 3, 2011 at 18:38 | history | edited | Farzad | CC BY-SA 3.0 |
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Jun 3, 2011 at 18:13 | history | edited | Farzad | CC BY-SA 3.0 |
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Jun 3, 2011 at 18:05 | history | edited | Farzad | CC BY-SA 3.0 |
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Jun 3, 2011 at 17:55 | history | edited | Farzad | CC BY-SA 3.0 |
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Jun 3, 2011 at 7:46 | history | edited | Farzad | CC BY-SA 3.0 |
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Jun 3, 2011 at 5:11 | history | edited | Farzad | CC BY-SA 3.0 |
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Jun 2, 2011 at 21:31 | comment | added | Ori Gurel-Gurevich | Frazad, it is customary to add a note when you edit a question in such a way that makes the answers/comments irrelevant. To the point - what is $K$ now? Each $K_{i,j}$ is still a product of 2 independent RVs. | |
Jun 2, 2011 at 21:16 | history | edited | Farzad | CC BY-SA 3.0 |
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Jun 2, 2011 at 21:08 | comment | added | Did | Hence $K=(S-E(S))^2$ where $S$ is Binomial$(N,1/2)$? Standard Cramer exponential inequalities work well in this context. | |
Jun 2, 2011 at 21:07 | comment | added | Ori Gurel-Gurevich | $=(\sum_{r=1}^N W_r )^2$ | |
Jun 2, 2011 at 21:06 | history | edited | Farzad | CC BY-SA 3.0 |
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Jun 2, 2011 at 20:49 | history | asked | Farzad | CC BY-SA 3.0 |