<p>In this example, we only have experimental data regarding the y-dimension of the distribution (target value indicated by dotted line). The top row contains the unperturbed and maximum entropy distributions. The matrix shows various combinations of force constant () and number of replicas () when enforcing the restraint through a harmonic potential. In these calculations, corresponds to the standard method for structure calculation, and corresponds to ensemble refinement. In each plot we also show the mean in the y-direction (), and the entropy of the distribution ().</p
Different distributions are fitted to the set of estimates for parameter for the 7191 genes. (A) A ...
<p>The entropy difference was used as a divergence measure. Significance level was . Rates were esti...
<p>Top: The mutual information between the parameters and the output of each set of experiment (in...
Many inferential statistical tests require that the observed variables have a normal distribution. M...
In the Dichotomous model (A), the density curve is replaced by a histogram, as effects sizes are str...
The method of maximum entropy is quite a powerful tool to solve the generalized moment problem, whic...
The method of maximum entropy is used in order to drive the normal distributions of order $r$ (see [...
The output from simulation factorial experiments can be complex and may not be amenable to standard ...
(A) Each point in the scatter plot is a model with two parameters denoted TF1 and TF2 and its color ...
When Shannon entropy is used as a criterion in the optimal design of experiments, advantage can be t...
<p>One synthetic experiment of SDC and SDE constructed upon 500 sampling points from a bivariate nor...
Panel (A) shows a hypothetical dataset where X is the cause and Y is the effect. We generate this da...
<p>The dotted line indicates the distribution of negative examples and the solid line indicates the ...
The coefficient of variations (CV) of each individual estimate and for all possible combinations of ...
<p>(A) Probability mass functions of the maximum entropy distribution (left) and the Gaussian copul...
Different distributions are fitted to the set of estimates for parameter for the 7191 genes. (A) A ...
<p>The entropy difference was used as a divergence measure. Significance level was . Rates were esti...
<p>Top: The mutual information between the parameters and the output of each set of experiment (in...
Many inferential statistical tests require that the observed variables have a normal distribution. M...
In the Dichotomous model (A), the density curve is replaced by a histogram, as effects sizes are str...
The method of maximum entropy is quite a powerful tool to solve the generalized moment problem, whic...
The method of maximum entropy is used in order to drive the normal distributions of order $r$ (see [...
The output from simulation factorial experiments can be complex and may not be amenable to standard ...
(A) Each point in the scatter plot is a model with two parameters denoted TF1 and TF2 and its color ...
When Shannon entropy is used as a criterion in the optimal design of experiments, advantage can be t...
<p>One synthetic experiment of SDC and SDE constructed upon 500 sampling points from a bivariate nor...
Panel (A) shows a hypothetical dataset where X is the cause and Y is the effect. We generate this da...
<p>The dotted line indicates the distribution of negative examples and the solid line indicates the ...
The coefficient of variations (CV) of each individual estimate and for all possible combinations of ...
<p>(A) Probability mass functions of the maximum entropy distribution (left) and the Gaussian copul...
Different distributions are fitted to the set of estimates for parameter for the 7191 genes. (A) A ...
<p>The entropy difference was used as a divergence measure. Significance level was . Rates were esti...
<p>Top: The mutual information between the parameters and the output of each set of experiment (in...