Estimating Space and Space Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach

In this thesis we have presented several modelling techniques that can improve the cur- rent state-of-art of statistical cosmology: an improved halo modelling, a more realistic

The following figures show the evolution along more than half a solar cycle of the AR faculae and network contrast dependence on both µ and the measured magnetic signal, B/µ,

By using a set of custom-designed numerical methods able to efficiently generate the required training data sets, we demonstrate this approach in the context of three very

The marginalized posterior distribution of f for models built upon the T1 simulation, which have different prescriptions for how central and satellite velocities are assigned

We also plotted the total oxygen abundances calculated from the electron temperatures measured using the direct method, only for the long-slit data of knot B, and those estimated

As a means to probe the possible fractal structure of the galaxy distribution we have studied the scaling of the num- ber density and angular correlation function of galaxies

In working on a group, the problem of first and second canonical quantization on a (symmetric) curved space (which, relies heavily on both the structure of space-time itself and

And in those fluctuations the importance of the spatial correlation of the wind speed in that time frame is shown by the fact that the power fluctuations of the 160 MW Wind Farm