Sentence examples for minimizes the conditional from inspiring English sources

We design an importance sampling scheme for backward stochastic differential equations (BSDEs) that minimizes the conditional variance occurring in least-squares Monte-Carlo (LSMC) algorithms.

Given the temporal data D T the algorithm fixes a gene target v i and looks for the group of genes g that minimizes the conditional entropy S q(v i(t + 1)| g(t)) for a fixed q.

Thus, the method consists in finding the gene v k that maximizes Equation 1 for a given target gene v i, which is equivalent to find the gene v k that minimizes the conditional entropy S v i(t + 1)| v k(t)).

In order to achieve a propensity score model that minimizes the conditional bias, it is important to determine predictors and confounders of the intervention outcome relationship and to identify predictors of exposure, i.e. we determined variables with significant effect on the probability of being privatized [ 48].

We are interested in the inference of network topology from temporal expression profiles by minimizing the conditional entropy between the genes, i.e., the gene entropy conditioned to the state of others genes.

We are interested in estimating α by trying to minimize the conditional sum of squares Q = ∑ t = 1 T d H 2 ( X t, α X t − 1 ).

The maximum mean discrepancy distance measure is modified to measure the distance between the conditional distributions and is integrated into the PCA optimization algorithm to minimize the conditional distributions.

By formulating a constrained optimization model, we address the problem of optimal reinsurance design using the criterion of minimizing the conditional tail expectation (CTE) risk measure of the insurer's total risk.

Taking CSI mismatch of H 1 and H 2 into account, the proposed objective function is to minimize the conditional MSE between the transmitted and received signals subject to relay power constraint, which is given as follows: begin{array}{*{20}l} &min_{mathbf{Q},mathbf{W}} Eleft[parallelmathbf{widehat{s}}-mathbf{s}{parallel_{2}^{2}}|widehat{mathbf{H}_{1}},widehat{mathbf{H}_{2}}right], end{array} (9a).

Similar to MCG, the H matrix could be used to minimize the conditional variances i.e. the MCH method.

MCA and MCG minimize the conditional genetic variance in the target population based on, respectively, the numerator relationship matrix A and the genomic G matrix calculated from the sparse genotypes.