To ensure a consistent estimation, only those high-quality ESTs covering the entire coding regions were sampled.
With fixed model estimation, only estimated future population was used as a variable.
As p j H / ∥ p j ∥ 2 is known a priori, the estimation only requires the product between the N r × N p N t matrix S j and an N p N t × 1 vector.
Here, we take an average value for estimation only.
We also show that adaptive sampling requires, for accurate estimation, only a fraction of the holes that were initially drilled for this particular dataset.
Second, we propose to perform the Bayesian estimation only w.r.t. a parsimonious, RB approximation of the posterior density.
After an appropriate change of state coordinates, a set of cascade high gain observers are designed in such a way that each of them provides an estimation of only one component of the unknown input vector, except the last one which gives a final adjustment of the whole state variables.
Proposition 1 aims at providing an estimation based only on the parameters K and S. In order to fully identify the action profiles corresponding to an NE, we use the graph G described in the proof of Proposition 1 in Appendix.
The genome coverage is much improved, with an estimation of only 2.2% missing after WGA by the MDA method in mammals [ 52].
For the cut-off estimation, only type II diabetes was used as a disease outcome.
