Sentence examples for matrix of log from inspiring English sources

I propose a bias-corrected non-parametric estimator of the covariation matrix of log security prices, designed as a convex combination of two realized kernels.

For 2-dye cDNA microarrays, it is common to impute missing values using the data matrix of log intensity ratios.

Prior to significance analysis of data, we transformed the foreground values of red and green channels into a matrix of log intensity ratios (M) and the geometric average between channels intensities (A).

The PC analyses were performed on a covariate matrix of log-transformed measurements in the software JMP (SAS Institute).

The PC1 coefficients extracted from the covariance matrix of log-transformed ontogenetic data for each sex were calculated to depict the nature of allometric growth in the human mandible (Figure S4).

We aligned the SXL-binding sites (UUUUGUU(G/U U(G/U UUU(G/U UU) from sequences selected by SELEX from a random RNA library [20] and converted this alignment matrix into a weight matrix of log-likelihood scores (Supplementary Table S1), as described [24].

Additional file 1: Table S1 Correlation matrix of log-transformed tree pollens, weather, and air pollution variables.

Therefore, a table (position specific scoring matrix) of log-likelihoods (or log-odds) is used to detect transcription factor binding sites in a regulatory sequence; each column in that table stands for a position in the binding sequence, and each row represents a base (A, T, C, or G) [ 59].

Heat transfer by conduction, convection, and radiation inside the porous matrix of the log is considered, as are convection and radiation around the log and inside the boundary layer adjacent to the smoldering end.

First, the covariance matrix of the log energies does not exactly follow Markov-I property.

Hessian matrix of the log posterior distribution, which from Equation (13), is given by ∇ w ∇ w ln P w t, α = ∇ w ∑ n = 1 N ϕ x n t n - y n - A W = ∑ n = 1 N - e - w n ϕ n 1 + e - w n ϕ x n 2 ϕ x n ϕ x n T - A = - ∑ n = 1 N y n 1 - y n ϕ x n ϕ x n T - A = - Φ T B Φ + A (22).