Sentence examples for models for conditional from inspiring English sources

After the advent of models for conditional heteroskedasticity, this simple check has become a standard in applications to financial data.

Of course Gärdenfors' semantical theory, extended with suitable epistemic variants of the classical notions of satisfaction, validity and entailment, will be capable of providing epistemic models for conditional operators.

To estimate reference limits nonparametric quantile regression was used, a method for estimating models for conditional quantile functions [ 29].

To directly evaluate whether AID expression can contribute to carcinogenesis, we generated two mouse models for conditional AID expression in epithelial cells of colonic and pancreatic origin (Fig 2A).

Because the embryonic lethality of Hhex−/− mice precluded analysis at later stages, we derived two genetic models for conditional Hhex ablation to assess the requirement for Hhex in the maintenance of pancreatic duct function at different time points.

Detailed statistics on the covariates are found in Table 2. > The transition intensities for the 15 transitions in the multi-state model from Fig. 1 were examined using the Nelson-Aalen estimator for marginal transition intensities, and Cox proportional hazards and Aalen additive hazards models for conditional transition intensities using relevant covariate information.

In this work, we develop analytical model for conditional packet loss probability, computation of busy time, and per-flow throughput prediction for all the flows in multi-hop wireless network.

Our finding that abrogation of a ribosomal protein causes a specific G1 arrest confirms the strength of the refined Tet model for conditional gene knockdown.

In addition, the number of variable pairs that were and were not correlated was also patterned after the real data, and the parameters of the generating model for conditional influence (coevolution) were taken from those of a conditional (undirected joint) model fit to the real data.

Training a full Boltzmann model for conditional likelihood maximization might easily have taken months of CPU time (Andronescu et al., 2010).

Likewise, in a transgenic mouse model for conditional expression of miR-21, a complete regression of B-cell lymphoma was observed upon withdrawal of miR-21 [ 13].