An efficient averaged stochastic Gauss-Newton algorithm for estimating parameters of nonlinear regressions models
type: Item
instance of: scholarly article
title: An efficient averaged stochastic Gauss-Newton algorithm for estimating parameters of nonlinear regressions models
author: Peggy Cénac
author: Antoine Godichon-Baggioni
author: Bruno Portier
published in: Bernoulli
publication date: 2024-11-05T00:00:00Z
Mathematics Subject Classification ID: 62Jxx
Mathematics Subject Classification ID: 62Gxx
Mathematics Subject Classification ID: 62Lxx
zbMATH DE Number: 7938557
zbMATH Keywords: nonlinear regression model
zbMATH Keywords: online estimation
zbMATH Keywords: stochastic Gauss-Newton algorithm
zbMATH Keywords: stochastic Newton algorithm
zbMATH Keywords: stochastic optimization
MaRDI profile type: Publication
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DOI: 10.3150/23-BEJ1637
description: scientific article; zbMATH DE number 7938557