Author: Smirnova, Alexandra; Chowell, Gerardo
Title: A primer on stable parameter estimation and forecasting in epidemiology by a problem-oriented regularized least squares algorithm Document date: 2017_5_25
ID: 3fwla5ox_29
Snippet: which is commonly used for Gauss-Newton type algorithms. Iterations are stopped at the moment when the discrepancy for the approximate solution is consistent with the level of noise in our data in order to guarantee convergence and, at the same time, it is not too small to prevent over-fitting that may compromise the accuracy of the estimated parameters, i.e., the stopping index, K ¼ K ðdÞ, is evaluated by a posteriori stopping rule A q K ðdÃ.....
Document: which is commonly used for Gauss-Newton type algorithms. Iterations are stopped at the moment when the discrepancy for the approximate solution is consistent with the level of noise in our data in order to guarantee convergence and, at the same time, it is not too small to prevent over-fitting that may compromise the accuracy of the estimated parameters, i.e., the stopping index, K ¼ K ðdÞ, is evaluated by a posteriori stopping rule A q K ðdÞ À D=K q K ðdÞ 2 rkd < Aðq k Þ À D=Kðq k Þ 2 ; 0 k K ðdÞ; r > 1:
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date