Estimation for dynamical systems using a population-based Kalman filter -- applications in computational biology
type: Item
instance of: scholarly article
title: Estimation for dynamical systems using a population-based Kalman filter -- applications in computational biology
zbMATH Open document ID: 1498.62160
author: Annabelle Collin
author: Mélanie Prague
author: P. Moireau
published in: MathematicS In Action
publication date: 2022-11-08T00:00:00Z
Mathematics Subject Classification ID: 62L12
Mathematics Subject Classification ID: 93B53
Mathematics Subject Classification ID: 92-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7613653
zbMATH Keywords: data assimilation
zbMATH Keywords: nonlinear mixed-effect models
zbMATH Keywords: Kalman filters
zbMATH Keywords: epidemiology
zbMATH Keywords: COVID-19
zbMATH Keywords: pharmacokinetics
describes a project that uses: EnKF
describes a project that uses: PSM
describes a project that uses: Stan
describes a project that uses: runjags
describes a project that uses: NONMEM
describes a project that uses: WinBUGS
MaRDI profile type: Publication
full work available at URL: msia.25
OpenAlex ID: W3036084452
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cites work: Q2958713
cites work: A robust nonlinear mixed-effects model for COVID-19 death data
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DOI: 10.5802/MSIA.25
description: scientific article; zbMATH DE number 7613653