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Still the method can be a combination of either probabilistic or deterministic approach as well as algebraic correlation modelling (equations system) or dynamic modelling (differential equations system).
The paper also demonstrates the importance of Bayesian updating and correlation modelling in considering the design and whole life performance optimisation of biomedical implants.
This is because volatility, smile dynamics, and correlation modelling have been inspiring new ideas, such as modelling swap rates' volatility (Rheinlaender, 2015) and local or stochastic correlation models (see, for example, Langnau, 2010 and Zetocha, 2015) and the trend is unlikely to end soon.
Although we could intuitively observe that the function (tanh(x)) is eminently suitable for correlation modelling, one can still ask whether other functions having values inside the interval ((-1,1)), like trigonometric functions or (frac{2}{pi}arctan(frac{pi}{2}x)), (xinmathbb{R}) can also be applied for this purpose?
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This correlation model allows, at the end of treatment, to obtain indices statistically correlated to the fundamental measure.
Dynamic Conditional Correlation model by Engle (2002).
We instead consider the semiarbitrary correlation model.
Among the possible spatial correlation models, Kronecker model is used[20].
Proper correlation modeling is critical for MU-MIMO performance assessment.
This approach is known as the exponential correlation model [39].
Figure 2 reveals clearly that the semiarbitrary correlation model agrees well with the arbitrary correlation model for different antenna setups.
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