以前不懂，看贴总是不回，一直没提升等级和增加经验；现在我明白了，反正回贴可以升级，也可以赚经验，而升级又需要经验，我就把这句话复制下来，遇贴就回，捞经验就闪。.

以前不懂，看贴总是不回，一直没提升等级和增加经验；现在我明白了，反正回贴可以升级，也可以赚经验，而升级又需要经验，我就把这句话复制下来，遇贴就回，捞经验就闪。.

以前不懂，看贴总是不回，一直没提升等级和增加经验；现在我明白了，反正回贴可以升级，也可以赚经验，而升级又需要经验，我就把这句话复制下来，遇贴就回，捞经验就闪。.

27楼
各位刷分的朋友，刷单词貌似是没有用的，回帖加分貌似和回帖的字数有关，我决定先实验一下，copy一点其他的东西进来，看看长文是不是能多加一点分，再来汇报结果。
While convergence properties of many sampling selection methods can be proven to hold in a
context of approximation of Feynman-Kac solutions using sequential Monte Carlo simulations, there is
one particular sampling selection method introduced by Baker (1987), closely related with “systematic
sampling” in statistics, that has been exclusively treated on an empirical basis. The main motivation
of the paper is to start to study formally its convergence properties, since in practice it is by far
the fastest selection method available. One will show that convergence results for the systematic
sampling selection method are related to properties of peculiar Markov chains
27楼
各位刷分的朋友，刷单词貌似是没有用的，回帖加分貌似和回帖的字数有关，我决定先实验一下，copy一点其他的东西进来，看看长文是不是能多加一点分，再来汇报结果。
While convergence properties of many sampling selection methods can be proven to hold in a
context of approximation of Feynman-Kac solutions using sequential Monte Carlo simulations, there is
one particular sampling selection method introduced by Baker (1987), closely related with “systematic
sampling” in statistics, that has been exclusively treated on an empirical basis. The main motivation
of the paper is to start to study formally its convergence properties, since in practice it is by far
the fastest selection method available. One will show that convergence results for the systematic
sampling selection method are related to properties of peculiar Markov chains

27楼
各位刷分的朋友，刷单词貌似是没有用的，回帖加分貌似和回帖的字数有关，我决定先实验一下，copy一点其他的东西进来，看看长文是不是能多加一点分，再来汇报结果。
While convergence properties of many sampling selection methods can be proven to hold in a
context of approximation of Feynman-Kac solutions using sequential Monte Carlo simulations, there is
one particular sampling selection method introduced by Baker (1987), closely related with “systematic
sampling” in statistics, that has been exclusively treated on an empirical basis. The main motivation
of the paper is to start to study formally its convergence properties, since in practice it is by far
the fastest selection method available. One will show that convergence results for the systematic
sampling selection method are related to properties of peculiar Markov chains

这里可以发表任何无意义的回复，刷豆刷分用，但每人每天限5贴。

这里可以发表任何无意义的回复，刷豆刷分用，但每人每天限5贴。

这里可以发表任何无意义的回复，刷豆刷分用，但每人每天限5贴。

这里可以发表任何无意义的回复，刷豆刷分用，但每人每天限5贴。

这里可以发表任何无意义的回复，刷豆刷分用，但每人每天限5贴。

这里可以发表任何无意义的回复，刷豆刷分用，但每人每天限5贴。

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