Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth
From MaRDI portal
Publication:652370
DOI10.1214/11-AOAS459zbMath1228.62121arXiv0906.3501OpenAlexW3098508414WikidataQ125974288 ScholiaQ125974288MaRDI QIDQ652370
Prabir Burman, Debashis Paul, Jie Peng
Publication date: 14 December 2011
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0906.3501
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (2)
Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States ⋮ Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth
- Applied functional data analysis. Methods and case studies
- Parameter estimation of ODE's via nonparametric estimators
- Estimation of generalized additive models
- Functional data analysis.
- Estimation and Inference for a Spline-Enhanced Population Pharmacokinetic Model
- Estimating a Predator‐Prey Dynamical Model with the Parameter Cascades Method
- Differential Equation Modeling of HIV Viral Fitness Experiments: Model Identification, Model Selection, and Multimodel Inference
- Efficient Local Estimation for Time-Varying Coefficients in Deterministic Dynamic Models With Applications to HIV-1 Dynamics
- A Spline Least Squares Method for Numerical Parameter Estimation in Differential Equations
- Semiparametric Nonlinear Mixed-Effects Models and Their Applications
- Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
- Maximum Likelihood Estimation in Dynamical Models of HIV
- Generalized Linear Models with Random Effects
- Smoothing spline ANOVA models
This page was built for publication: Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth