Surprise can often be computed analytically, for instance in the case of distributions from the exponential family, or it can be numerically approximated.
The DA algorithm is intended to simulate instances of the distributions by allowing for the variability of the parameters themselves.
Figure 4 shows one instance of a distribution of four apartment blocks and ten macro UEs per macro sector.
This resulted in one instance of the distribution of mononucleotide repeats in the genome that would be expected if codons were used in a context-independent manner.
We will say that the data fusion is valid if the fused data set \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$X_{ 1},\hat {Y}_{1})$\end{document} (X 1, Ŷ 1 ) is an instance of the distribution function f X, Y).
The test is executed for example instances of the multivariate distribution, where D = 1, 2, 4, 10 and asking the algorithms to generate 10 to 1,000 samples.
We drew without replacement a subset of 7803 instances of the multinomial distribution Ω from functional and non-functional seed matches.
The whole procedure was repeated 100 times, so that we obtained 100 instances of the expected distribution of mononucleotide repeats under our null-model.
Conceptual models of property rights and institutions often ignore that, in many instances, the distribution of land ownership is not the result of the operation of "perfect" markets but reflects power structures.
If, for instance, one particular method of distribution turns out to have a huge advantage over others, the power of those involved in that business will be much enhanced.
