activity
20092025
most citedAn efficient Averaged Stochastic Gauss-Newton algorithm for estimating parameters of non linear regressions models

8 citations · 9 across the 6 of their papers we have counts for

collaborators
Showing stat.MEShow all

1 paper · 1 filter

stat.ME2009★ 1 cited

Strong uniform consistency and asymptotic normality of a kernel based error density estimator in functional autoregressive models

Nadine Hilgert, Bruno Portier

Estimating the innovation probability density is an important issue in any regression analysis. This paper focuses on functional autoregressive models. A residual-based kernel esti…