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Exact Gradients Imp...
Exact Gradients Improve Parameter Estimation in Nonlinear Mixed Effects Models with Stochastic Dynamics
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- Olafsdottir, Helga Kristin (author)
- Göteborgs universitet,University of Gothenburg,Chalmers tekniska högskola,Chalmers University of Technology
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- Leander, Jacob, 1987 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,University of Gothenburg,Chalmers tekniska högskola,Chalmers University of Technology
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- Almquist, Joachim, 1980 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Jirstrand, Mats, 1968 (author)
- Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC),Fraunhofer-Chalmers Research Centre for Industrial Mathematics (FCC)
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(creator_code:org_t)
- Springer Science and Business Media LLC, 2017
- 2017
- English.
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In: Journal of Pharmacokinetics and Pharmacodynamics. 44(Suppl 1): 11. - : Springer Science and Business Media LLC. - 1567-567X .- 1573-8744.
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Abstract
Subject headings
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- Nonlinear mixed effects (NLME) models based on stochastic differential equations (SDEs) have evolved into a mature approach for analysis of PKPD data [1-3], but parameter estimation remains challenging. We present an exact-gradient version of the first order conditional estimation (FOCE) method for SDE-NLME models, and investigate whether it enables faster estimation and better gradient precision/accuracy compared to finite difference gradients.
Subject headings
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Publication and Content Type
- vet (subject category)
- kon (subject category)
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