Sentence examples for both the conditional and from inspiring English sources

Once we have estimated the means and variances of the parameters together with the correlation matrices for both the conditional and the background distributions, we can represent them by f and g and thus calculate the hazard function of Eq. (1).

Both the conditional and joint models were well calibrated, whereas the q-values of FET tended to overestimate one minus positive predictive value (Figure 6).

Here, we analyzed a superset (N = 205) of the data used in [12] (MHC-I alleles only) using both the conditional and undirected joint model.

The resulting germline mice served as the basis for both the conditional and KO alleles.

We verified that both the conditional and unconditional approaches gave approximately the same results for the entire dataset.

The inference is considered with respect to minimising both the conditional and unconditional mean-square error (MSE).

LSTAR-LST-GARCH models are LSTAR-LST-GARCH, LSTAR-LST-FIGARCH, LSTAR-LST-APGARCH, and LSTAR-LST-FIAPGARCH models and possess both ST-GARCH (Lundberg and Terasvirta 1998) and STAR-GARCH characteristics since both the conditional mean and the conditional variance are allowed to follow STAR type nonlinearity.

This is a key point in our problem formulation, because under the knowledge of the noise parameters (i.e., μ,σ 2,λ,ν,γ and τ in (3)), both the conditional marginal filtering and smoothing posterior distributions of the states, p(x k |y 1 k ) and p(x k |y 1 N ), turn to be Gaussian and thus we are able to use computationally light Gaussian smoothing methods to infer the states of the system.

In vivo, both the conditional overexpression of β-catenin (Chenn and Walsh, 2002) and the conditional knockout of all GSK-3 alleles (Kim et al., 2009) in neural progenitors result in dramatic hyperproliferation of the neuroepithelium.

Diodorus Cronus can perhaps also be credited with the beginnings of temporal logic, as both his theory of the conditional and his accounts of the modalities are built on logically relevant temporal properties of propositions (see below sects. 3.2 and 4.2).

In the study, we will allow models to follow STAR type nonlinearity both in the conditional mean and the conditional variance which are evaluated under LSTAR-LST-GARCH architecture.