Sentence examples for likelihood subject from inspiring English sources

Then the reconciled measurements are obtained by maximum likelihood, subject to the process constraints.

We maximize the log likelihood subject to a penalty that is dependent on the magnitude of the estimated parameters.

The likelihood ratio is LR = -2ln[l (θ|y)/l (θr|y)], where l (θ|y) is the maximum of the likelihood function when fitted to a full set of parameters and l (θr|y) is the maximum likelihood, subject to the restriction that r parameters were constrained to fixed values.

In PLR, we maximize the log-likelihood subject to a size constraint on the L2-norm of the coefficients (excluding the intercept) [ 22].

Treating SNPs and their interaction terms as predictors, penalized logistic regression (PLR) [ 37] maximizes the model log-likelihood subject to an L2-norm constraint on the coefficients.

One prominent example of such a technique is the Lasso [ 4], which involves finding coefficients under the standard multivariate linear regression model that maximize the log-likelihood subject to a constraint on the L1-norm of the coefficients, namely the sum of the absolute values of the coefficients.

In the Lasso, the estimates of the β j, β ^ j, are those that maximize the log-likelihood subject to a penalty on the sum of the absolute values of the β j estimates (an L1-norm penalty); the geometry of this constraint causes the estimates of many of the β j to be set equal to exactly zero.

The likelihood of subject matter featuring in assessment impacts on what content students select to learn (Becker et al. 1968; Becker et al. 1961; Miller and Parlett 1974; Snyder 1971; Vermunt 1996) or not what Snyder (1971) referred to as "selective negligence".

A Steven D. Sladkus, a Manhattan co-op and condominium lawyer, says that in most cases, investors who buy blocks of units from a sponsor will, in all likelihood, be subject to bylaw restrictions on short-term leases.

In additional specifications, we find that risk aversion is negatively and significantly associated with the likelihood a subject engaged in any of five risky behaviors and the number of risky behaviors reported.

It stands to reason that the greater the number of hemorrhages, the greater likelihood the subject will develop pathology.