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where β is the roll-off factor shaping the transmission pulse, and Λ τ is a diagonal matrix that models signal temporal dispersion and its exponential power contribution.
Considering that the GTR + Γ4 model has a better fit than the LG + Γ4 model, it appears that the size of the data set is sufficiently large to estimate a GTR amino acid substitution matrix that models more accurately our data than the empirical LG matrix.
Motivated by empirical findings, as outlined in Sect. 1, we specify a pick matrix that models the negative effect of sentiment on subsequent returns.
3.3, a pick matrix that models the negative effect of sentiment should exploit the reversal effect of investor sentiment on returns.
For the covariance matrix, we use a within-class covariance matrix that models the variations among face images of the same person for all users, because we often do not have enough images to estimate a user-specific covariance matrix.
for k = 1,2,…, with the initial known distribution p(s 0) for s k, where F is a 4 × 4 matrix that models the state kinematics [39]: F = 1 0 T s 0 0 1 0 T s 0 0 1 0 0 0 0 1, (22).
Similar(52)
For each individual subject, regression-coefficients for each voxel were obtained from a General Linear Model regression analysis, using a factor matrix that contained factors modeling hemodynamic changes that were event-related to the anticipation phase of each trial (i.e., the period of time from the onset of the cue to the onset of the rotated letter; duration 3,500 ms).
Using the model matrix that best described our data (excluding the 'Block model'), we obtained maximum likelihood estimates and standard errors for fruit number and flower number for each population in Riverside and Point Reyes.
Next, we develop a constrained probabilistic sparse matrix factorization (cPSMF) approach that models the expression of each gene across the independent latent components as a linear weighted combination of activity profiles of a small number of TFs.
A related problem is that the presented SW ℓ2,1-SVD can be extended to other instances with a random basis matrix that accord with the model (3) in the sparse representation framework.
Let denote by the model matrix that gathers the DCM terms evaluated at the entries of : (2).
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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