Sentence examples for score equation from inspiring English sources

Thirteen covariates were chosen for the propensity score equation.

The region attribute is estimated using the following score equation.

Non-informative uniform priors were used for both the propensity score equation and the outcome equation.

The numerical value of the MLE (hat {boldsymbol {theta }}) can be found by solving the score equation (4.33) using the newton's method.

In future, we can consider the optimization of α or introduce some weight structure in the score equation to achieve robustness.

Under suitable conditions, the MLE (hat {boldsymbol {theta }}) is the solution to the score equation sum_{i=1}^{n} {mathbf{S}}_{i}({boldsymbol{theta}})=0.

This test employs the z score equation, which uses the number of samples where one of the algorithms failed and the other succeeded, i.e., the performance discrepancies.

Both Bayesian model averaging approaches offered slightly better prediction of the propensity score compared to the Bayesian approach with a single propensity score equation.

Models for estimating the propensity score equation have included parametric logit regression with chosen interaction and polynomial terms (e.g., Dehejia and Wahba 1999; Hirano and Imbens 2001a), and generalized boosting modeling (McCaffrey et al. 2004), to name a few.

{left[ v right]} right|}}Eleft( {Tleft[ c right]} right) (7 The score equation was developed for multi-dimensional top-down specialization (MDTDS), where data blocks are specialized or generalized by implementing Eqs.

To support our AUC-based results for the ranking of VS databases, we further analyzed them using the KLSC score (Equation 2), which is based on the similarity between the correlation matrix of a test database and the KBD.