c*****9
发帖数: 168 | 1 你这种情况果断G或者two signma，startup完全不用考虑 |
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b*****s
发帖数: 836 | 2 打算申请eb1a，不claim membership，这个membership还要不要申请呢？
感觉是没用，但是好像大家都有就我没有似乎又是一个弱项了？
请大牛指点。 |
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A*T
发帖数: 4820 | 3 没人会觉得如果没有就是弱项
不想claim就别折腾了 |
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gr
发帖数: 2958 | 6 嗯，我是残副 60D。
估计只有 35 L，35 2.0 signma 可以选了
你说焦外是所有光圈的焦外都不如？ |
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h******5
发帖数: 58 | 7 Thank you all for sharing the info. I almostly solved the issue by using the
GSL library. The last problem I got is that the optimizer is not strong
enough when the initial parameters guess are not close to what they should
be. I used 13 sample data to fit a normal distribution density function (x =
returns, y=densities ). Based on the sample data, mu shoulbe be close to 0
and sigma should be close to 0.02. When I put 0 as inital mu and 0.15 as
initial sigma, the result is good. But when I try 0... 阅读全帖 |
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