A Nonparametric approach to the noise density in stochastic volatility models

Government policy varies between nations and this guidance sets out the need for balanced decision-making about ways of working, and the ongoing safety considerations

In this work we deal with the problem of the trajectories corresponding to a functional whose Lagragian density is linear in the torsion function of the particle worldline trajectory

These initial results led us to further explore the functional pathophysiological role of GPR107  in  PCa  cell  models.  The  first  approach  was  to  assess 

For instance, the best overall accuracy of bagging in Breast with 20% noise is achieved using a 10% sampling ratio: The test error goes from 4.1% when no noise is injected to 3.5%

In particular, different versions of the training set for the base learners can be used, as in bagging (bootstrap sampling of training data), class-switching (noise injection in

We remark that we do not take advantage of fast Fourier transforms for linear terms, because the corresponding matrices are constant at each time step as we will see below..

The evidence that in our case of the Kuramoto model [Equation (5)] the GD-RBM method allows for a more efficient control computation, in particular for large oscillator networks,

In the Supporting Information we include density functional theory calculations of thickness dependent bandgap, density functional theory calculations of the band structure with