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Secondly, the updated IRI-2012 inputput as a prior value and the multiplicative algebraic reconstruction technique (MART) is implemented to reconstruct the IED distribution.
Each dummy variable node is initialized with a prior value set to the largest possible magnitude of a binary zero in its signed, 8-bit representation.
Firstly, we estimate an approximate value of MP S +P N, and a prior value of ε, to obtain the weight vector.
Since these correlations remain conditional on the full prior state (S1), there can be no quantity such that conditional upon a prior value of this quantity A and B are uncorrelated.
In some cases choosing a prior value on θ could be fairly straightforward.
A prior value was assigned to π which describes a prior probability of association (1 - π) for each SNP.
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In the event of non-stationarity, we opted to set an a-prior value of 1 for starting the Kalman recursions[ 22].
Prior means of θ's are set equal to a single value θ p given by the user, from a single prior value N p of effective size and an assumed mutation rate μ.
STRUCTURE 2.2 was then run 3 times with a single prior value of K = 3 for the number of clusters, and a burning period of 5000 iterations followed by 10,000 iterations.
The analysis assumes that each person comes to the data with a subjective prior value for these odds and then adjusts them on the basis of the data to arrive at his or her posterior odds.
In order to derive the prior information prize (PIP) function, we first assume the value of prior wij is normally distributed (truncated by boundaries of wij) around an expected prior value, E[wijprior] with a standard deviation, σijprior.
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