Author: Livio Fenga
Title: CoViD--19: An Automatic, Semiparametric Estimation Method for the Population Infected in Italy Document date: 2020_3_18
ID: hhj7zte1_7
Snippet: In small data sets it is essential to save degrees of freedom (DOF). In this perspective, the adopted model -of the type semiparametric -consists of two parts: a purely nonparametric and a parametric one. While the former does not pose problems in terms of DOF, the latter clearly does. However, the sacrifice in terms of DOF is very limited as an autoregressive model of order 1 (employed in a suitable distance function, as below illustrated) has p.....
Document: In small data sets it is essential to save degrees of freedom (DOF). In this perspective, the adopted model -of the type semiparametric -consists of two parts: a purely nonparametric and a parametric one. While the former does not pose problems in terms of DOF, the latter clearly does. However, the sacrifice in terms of DOF is very limited as an autoregressive model of order 1 (employed in a suitable distance function, as below illustrated) has proved sufficient for the purpose. DOF-saving strategy is also the driving force of the choice not to consider as an exogenous parameter the georeferencing of Regions or to include the regional population in a regression-like scheme but to implicitly assumed these variable embedded in the dynamic of the time series in question.
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