p********t
发帖数: 1219 | 1 Bayes' theorem relates the conditional and marginal probabilities of
stochastic events A and B:
Pr(A|B) = {Pr(B|A)×Pr(A)}/{Pr(B)} = {L(A|B)×Pr(A)}/{Pr(B)}
where
L(A|B) = \Pr(B|A)
is the likelihood of A given B for a fixed value of B.
Each term in Bayes' theorem has a conventional name:
* Pr(A) is the prior probability or marginal probability of A. It is "
prior" in the sense that it does not take into account any information about B
.
* Pr(A|B) is the conditional probability of A, gi |
a*******r
发帖数: 7558 | 2 洋文的咱看着太费劲。。。
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0.
pH
the
【在 p********t 的大作中提到】
: Bayes' theorem relates the conditional and marginal probabilities of
: stochastic events A and B:
: Pr(A|B) = {Pr(B|A)×Pr(A)}/{Pr(B)} = {L(A|B)×Pr(A)}/{Pr(B)}
: where
: L(A|B) = \Pr(B|A)
: is the likelihood of A given B for a fixed value of B.
: Each term in Bayes' theorem has a conventional name:
: * Pr(A) is the prior probability or marginal probability of A. It is "
: prior" in the sense that it does not take into account any information about B
: .
|
p********t
发帖数: 1219 | 3 国内没系统学过概率统计的（像我），最好还是直接按照英文学。中文Bayesian就翻译成
贝叶斯，加上一堆统计名词，看得我头昏脑涨的。
【在 a*******r 的大作中提到】
: 洋文的咱看着太费劲。。。
:
: ')
: 0.
: pH
: the
|
e*******d
发帖数: 461 | 4 斑竹真好，是该法些英文的．扫一下英文盲．
B
【在 p********t 的大作中提到】
: Bayes' theorem relates the conditional and marginal probabilities of
: stochastic events A and B:
: Pr(A|B) = {Pr(B|A)×Pr(A)}/{Pr(B)} = {L(A|B)×Pr(A)}/{Pr(B)}
: where
: L(A|B) = \Pr(B|A)
: is the likelihood of A given B for a fixed value of B.
: Each term in Bayes' theorem has a conventional name:
: * Pr(A) is the prior probability or marginal probability of A. It is "
: prior" in the sense that it does not take into account any information about B
: .
|
