Let assume to observe the pairs of data ({y_{j},mathbf {z}_{j}}_{j=1}^{P}), with (y_{j} in mathbb {R}) and (mathbf {z}_{j} in mathbb {R}^{d_{Z}}), and denote the corresponding vectors y=[y1,…,y P ] and Z=[z1,…,z P ].
The coordinates of the multivariate process are assumed to be observed at highly frequent non-synchronous points.
The total number n of p-dimensional continuous data is assumed to be observed in K different groups, where p is allowed to largely exceed n.
In particular, striatal alterations have been in the focus of many investigations, as these are assumed to contribute to observed cognitive and motor dysfunction in elderly people or Parkinson patients [ 1].
In this case, the porosity of the Arab formation is assumed to be 10% to observe the effect on fluid velocity.
In this case, the porosity of the Arab formation is assumed to be 20% to observe the effect on fluid density.
Since (N_mathrm{all}={ tau _k, M_k), k=1,2,ldots,n_mathrm{all}}) is not completely known, we can only estimate the true bi-scale empirical transformation based on the points outside of S, where the events are assumed to be completely observed.
These models censored the outcome for those on medication at the observed value so that the true measurement for blood pressure, LDL-cholesterol, triglycerides and fasting plasma glucose were assumed to be that observed or higher, whilst the true measurement for HDL-cholesterol was assumed to be that observed or lower.
One measurement from each location that was not used to calculate AGS was assumed to have been observed in 2002.
