Sentence examples for higher order correlation from inspiring English sources

However, even in the approximation of pair interaction, higher order correlation functions are of interest.

When the dot is subjected to an externally applied magnetic field, one must consider the antisymmetrized version of Equation 4 using A−=A B − A −B, where A can be G, S, or higher order correlation functions ( C − ( 0 ) = 0 for an energy-independent scattering matrix as in our system).

In addition, the major chromosomal changes that have occurred in the X chromosome also leave their distinctive signatures, either by variation in the nucleotide composition or by a characteristic pattern of nucleotide usage, which can be observed as a specific higher–order correlation.

A linear kernel k(x i, x j) = 〈 x i, x j〉 was chosen for the SVM, as higher order correlation functions could easily lead to overinterpretation of the data, given the unfavorable ratio of features and replicates.

The paper starts by introducing 4 models that are elaborations of the Reichardt detector: (1) multiple channels that explicitly construct higher order correlation statistics, (2) A static front end nonlinearity, (3) separate correlations between lights and darks, (4) nonlinear combination through operations other than multiplication.

A neural network model that can learn higher order correlations within the input data without suffering from the combinatorial explosion problem is introduced.

The EXAFS data were analysed by recently developed Monte Carlo procedures, enabling a discussion of the glass structure in terms of pairwise and higher order correlations.

These models are powerful because they capture higher order correlations induced by mutations evolving under constraints and help quantify the connections between protein sequence, structure, and function maintained through evolution.

The role of higher order correlations will be more fully explored in forthcoming work.

Therefore, MI measures are not restricted to the second order (as the CC ones), but they are sensitive to all higher order correlations, both linear and nonlinear.

Since MI is sensitive to all higher order correlations (both linear and nonlinear), this measure is highly sensitive to a "general influence" caused by the high degree of connectivity.