Sentence examples for sample based estimator from inspiring English sources

The conditional mean can be estimated by substituting consistent estimators based on the validation sample for (rho _{alpha }^(Z_{j},t)), σ 1(Z j,t) and σ 2(Z j,t), and by replacing ψ j (α,t) with the primary sample based estimator bar{psi}_{j} alpha,t)=sum_{iin Vcupbar{V}}bar{omega}_{i} t,Z_{j}(t);h) xi_{i} alpha,t), (3.7).

Continuous importance sampling-based estimators In the case the previous assumptions are not fulfilled, in particular assumption (i), alternatives to GPEs are given by continuous importance sampling procedures for SDE.

The temporal based estimator has another expected source of imprecision: the temporal distance between samples.

We estimated θ using the sample homozygoisty-based estimator developed by Xu and Fu (2004) [ 22], which is approximately unbiased under the single-step stepwise mutation model and has a much smaller variance than the size-variance based estimator.

The nonparametric regression based estimator was compared to results obtained by the established methods of the Receiver Operating Characteristic plot in various simulation scenarios and based on bias and root mean square error, yielded excellent finite sample properties.

The newly developed RW based estimators (RL- and RT-estimators) allow to avoid burn-in period, provide better control of stability along the sample path, and overall reduce the estimation time.

Abbreviations : TBE truncation-based estimator.

The procedure is based on the optimisation of an objective-function to correct the above-mentioned bias in a way similar to the estimators of samples based on different choice options.

By repeatedly using Lemma 2, it can be shown that the optimal sample path originated from a Jordan infection center occurs with a higher probability than the optimal sample path originated from a node which is not a Jordan infection center, which implies that the sample path-based estimator must be a Jordan infection center.

The source that associates with X∗[ 0,t∗] is called the sample path-based estimator.

In other words, the sample path-based estimator minimizes the maximum distance to observed infected nodes.