Bayesian penalized smoothing approaches in models specified using differential equations with unknown error distributions
From MaRDI portal
Publication:5130561
DOI10.1080/02664763.2014.927839OpenAlexW2030174802MaRDI QIDQ5130561
Philippe Lambert, Jonathan Jaeger
Publication date: 28 October 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2014.927839
parameter estimationordinary differential equationspharmacokineticsBayesian ODE-penalized B-splinepenalized Gaussian mixture
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Bayesian density estimation from grouped continuous data
- Nonparametric additive location-scale models for interval censored data
- Archimedean copula estimation using Bayesian splines smoothing techniques
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Functional data analysis.
- Bayesian Accelerated Failure Time Model With Multivariate Doubly Interval-Censored Data and Flexible Distributional Assumptions
- The Calculation of Posterior Distributions by Data Augmentation
- A Spline Least Squares Method for Numerical Parameter Estimation in Differential Equations
- Dealing With Label Switching in Mixture Models
- Bayesian P-spline estimation in hierarchical models specified by systems of affine differential equations
- Parameter Estimation for Differential Equations: a Generalized Smoothing Approach
- An adaptive Metropolis algorithm
- A practical guide to splines.
This page was built for publication: Bayesian penalized smoothing approaches in models specified using differential equations with unknown error distributions