From a methodological perspective, the novelty of this paper is in the use of an optimal importance density to generate particles, a fact that increases the estimation accuracy for a given budget of particles.
A nonparametric estimation of the optimal importance sampling density is then obtained using the MEDE technique.
Leveraging on a PMCMC algorithm and the use of the optimal importance density as in the first method, we present a method that is able to filter x k while estimating the values describing the neuron model.
In the context of structural reliability, SIS can be applied to produce samples of an approximately optimal importance sampling density, which can then be used for estimating the sought probability.
In this section, we will address the problem of designing the optimal importance function which could be adopted in this nonlinear communication system relying on the local linearization technique.
Therefore, predicting the likely prognosis in an individual patient before treatment would allow early selection of optimal therapies, the importance of which is highlighted in the most recent St Gallen guidelines for the treatment of early breast cancer (Goldhirsch et al, 2009).
Overall, our results highlight the importance of depressive disorders as a risk factor for all-cause mortality, and therefore stress the importance of optimal screening, referral and treatment practices regarding depressive disorders among the general population, and particularly among patients who may be at risk for CAD.
The realization of the importance of optimal sensor placement in condition monitoring system and optimal sensor placement methods are also investigated.
The importance of optimal plaque control and aesthetics with complete root coverage were highlighted as the treatment goals.
The importance of optimal and/or superior vision for participation in high-level sports remains the subject of considerable clinical research interest.
