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The independent-rates clock model, a WAG substitution model and approximate likelihood calculation72 were used.
The obtained model and approximate analytical results are compared with those available in the open literature.
When coordinates axes are orthogonal at the target the predictions from the Correct Bicoordinate (Target based) model and Approximate Bicoordinate model are identical.
In these methods, radial basis function network technique is adopted to model and approximate the implicit performance functions or partial derivatives.
A mathematical model and approximate analysis for the energy distribution of an ac plasma arc with a moving boundary is developed.
A combination of the above-mentioned first principle model and approximate models based on artificial neural network (ANN) successively learnt in due course of optimization using the data obtained from first principle models can be intelligently used for function evaluation and thereby reduce the aforementioned computational burden to a large extent.
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The new model is less conservative than the classical model and approximates better Value-at-Risk objective functions, especially for vectors with few non-zero components.
By formulating a simple k-tree model and approximating it to the original network, their method can estimate the properties of original networks; they showed that their method can accurately estimate properties of the original network even when 90% of nodes are not sampled.
The VPC at each level was calculated using the latent variable method, which assumes a threshold model, and approximating the level-1 (individual) variance by π/3 (≈3.29) (27, 29).
David's research interests include: Probabilistic graphical models and approximate posterior inference, topic models, information retrieval, and text processing and nonparametric Bayesian statistics.
Relationships between price, use and potential confounding factors were examined using logistic and repeated measures binomial regression models, and approximate magnitudes of associations were assessed with linear regression.
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