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| bio | website | ceit.aut.ac.ir/~isaac |
|---|---|---|
| location | Iran | |
| age | 25 | |
| visits | member for | 2 years, 6 months |
| seen | May 14 at 14:13 | |
| stats | profile views | 48 |
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May 2 |
awarded | Good Question |
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Apr 6 |
awarded | Yearling |
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Apr 6 |
revised |
Calculating $Var\left\{(\hat{m}-m)^2\right\}$ for a univariate normal distribution added 61 characters in body |
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Jun 23 |
awarded | Autobiographer |
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Apr 29 |
comment |
Where does “a priori knowledge” come from especially in statistical presuppositions and reasoning? This was actually a question by a friend of mine who was looking for a conceptual reasoning about the a priori knowledge. I don't know what is not clear for him though. Thanks. |
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Apr 28 |
asked | Where does “a priori knowledge” come from especially in statistical presuppositions and reasoning? |
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Mar 10 |
comment |
Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it @DilipSarwate: as I understood $d_{min}$ is the minimum distance between two $X$'s in the coding space. Therefore, multiplying $i$ to $d_{min}$ lies at ranges where the MSB is flipping from $0$ to $1$ or vice versa. I guess what the authors are doing is quantizing the continuous $X$ space into discrete space: they consider values from $0$ to $1/2$ as bit 0 and values from $1/2$ to $1$ as bit 1. |
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Mar 10 |
comment |
Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it @cardinal: $X$ is derived from frames of video (to be more accurate, each $X$ is an index of quantized DCT coefficient of the corresponding block in the corresponding frame), so $X$ is random variable which has the distribution of the video we are coding. We cannot model most videos with any particular distribution though (I hoped we could!). |
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Mar 9 |
revised |
Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it fixed a typo in formulas |
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Mar 8 |
revised |
Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it edited body |
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Mar 8 |
comment |
Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it @DilipSarwate: Sorry about the restricted paper. I am not sure but is it okay if I upload it somewhere and give a link to it? |
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Mar 8 |
accepted | Calculating the error of Bayes classifier analytically |
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Mar 8 |
accepted | Application of machine learning methods in StackExchange websites |
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Mar 8 |
comment |
Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it @cardinal: I've added some details to the question to make the problem more clear. |
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Mar 8 |
revised |
Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it Add some details in "More details" section |
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Mar 8 |
revised |
Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it restated the title |
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Mar 8 |
revised |
Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it edited title |
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Mar 8 |
asked | Probability of MSB=1 for a n-bit discrete random variable while we have a noisy estimate for it |
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Nov 26 |
awarded | Yearling |
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Aug 21 |
awarded | Nice Question |
