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Landmark is a "missing element in the matrix of distribution," said Tom Bernard, co-president of Sony Pictures Classics.
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This chapter explains a methodology and tools that can help in constructing a scoreboard Eigen model beyond the matrix of loss distribution.
Table 3 reports the parameters of the contact matrix of distributions introduced above.
On the other hand, the contact matrix of distributions (CMD) affords a very good qualitative and quantitative agreement with the spreading patterns obtained with the heterogeneous network representation (HET), even though the CMD representation contains significantly less information on the contact network structure than HET (see Table 1).
Other perspectives include testing data-driven containment strategies based on the various contact patterns representations and understanding how the evaluation of their performance depends on the representation, in particular for the case of the novel representation defined by the contact matrix of distributions we introduced here.
The matrix is defined so that the entry for role classes X and Y consists of the parameters of the negative binomial distribution that fits the empirical distribution of contact durations between all pairs of individuals x in class X and y in class Y. Similarly to the customary contact matrices, the contact matrix of distributions is not an individual-based representation.
In order for the present paper to be self-contained, we report here the contact matrix measured in the hospital ward as well as the newly introduced contact matrix of distributions (CMD).
The coefficient s used for the definition of the sigma parameter (the covariance matrix of this distribution) represents the level of noise in the generated data.
For the analysis of this we use a product of two Radial Basis function kernels as the base kernel functions which define the covariance matrix of the distribution.
Obtain the Jacobian matrix of the distribution system and calculate the inverse matrix of Jacobian matrix.
where Σ is the covariance matrix of the distribution.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com