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Exact(13)
For i,j,k=0,1, let p_{ijk}=Pleft(X_{a}=j,X_{s}=k|Y=iright) be the conditional probability for the case or control.
According to the system model presented in Fig. 1, this bit error probability is defined to be the conditional probability that the receiver makes a wrong decision on a transmitted information bit.
Let P s be the conditional probability that a WLAN transmission is successful, which is given by begin{array}{*{20}l} P_{s} &= frac{n_{mathrm{w}}tau_{w} 1-tau_{w})^{n_{mathrm{w} 1-tau_{w}ext{tw}}}.
(Or, if we let B be the proposition that the proportion of Fs that are G is r, and we let p(h | e) be the conditional probability of hypothesis h on evidence e, then we can express the above proportional syllogism in the language of probability as follows: p(Ga | Fa & B) = r).
Let (P_{pi } (S_{t} = j,A_{t} = a|S_{0} = i)) be the conditional probability that at time t the system is in state j and the action taken is a, given that the initial state is i and the decision maker is a strategy π.
Let be the conditional probability that a gene is in set g given that the gene status is d, where.
Similar(47)
Thus, representing data as vectors (x, y) = (xi, yi), i = 1, 2, …, N, the likelihood for a value b of the parameter vector is the conditional probability of observing the data y, conditioned on the data x.
P(x i | xpa(i ), 𝒯, Q) is the conditional probability of observing x i at node i conditioned on its parent node pa(i), as in Equation (9).
is the conditional probability of, given.
and are the conditional probability distribution and prior probability distribution, respectively.
is the conditional probability that the radius of cylindrical Rzone is when we have successful transmission.
More suggestions(12)
be the conditional frame
be the transitional probability
be the conditional covariance
be the initial probability
be the overall probability
be the conditional density
be the conditional rejection
be the unconditional probability
be the corresponding probability
be the conditional distribution
be the joint probability
be the posterior probability
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com