Sentence examples for models with dependence from inspiring English sources

Among the interesting proposed extensions of ICA to dependent components, we should mention tree-dependent models [11] and models with dependence in variance profiles [12].

To highlight how a spatial model with dependence compares with univariate models of extremes, a max-stable model is fitted to the daily annual maximum rainfall in a case study region of South East Queensland, Australia.

The comparison shows that the value of our excitation curve at 14.5 MeV is close to the estimation obtained from the published empirical formula based on the statistical model with dependence on the Q-value and odd even effect taken into consideration.

The non-standard renewal risk model with dependence structure and stochastic return is also considered by Li [15] and Fu and Ng [16].

The underwriting process is modeled by a non-standard renewal risk model with dependence introduced by a FGM copula and the price of the risky asset is characterized by an exponential Lévy process.

The total claim amount is modeled by a non-standard renewal risk model with dependence between the claim size and the inter-arrival time introduced by a Farlie-Gumbel-Morgenstern copula.

See e.g. Tsai and Willmot [2] for the compound Poisson risk model, Li and Garrido [3] for a Sparre Andersen risk model with Erlang inter-claim times, Zhang and Yang [4] for a perturbed compound Poisson model with dependence between inter-claim times and claim sizes, and Zhang et al. [5] for a Sparre Andersen risk model with time dependent claim sizes.

Stochastic Perceptual Speech Models with Durational Dependence.

Two existing pressure-dependent models are reformulated to show the applicability of the general yield criterion framework presented herein to developing new non-quadratic anisotropic models with a dependence on pressure.

Two examples are presented to demonstrate that the proposed filtering approach can outperform existing methods of robust H∞ filtering for state-delayed linear state-space models with affine dependence on polytopic-type uncertain parameters.

The latter study is particularly interesting because it proposed field models with time dependence controlled by co-estimated core flows.