Bayesian smooth‐and‐match inference for ordinary differential equations models linear in the parameters
Author:
Affiliation:
1. Department of Statistical SciencesUniversity of Bologna Bologna Italy
2. Institute of Computational ScienceUniversità della Svizzera Italiana Lugano Switzerland
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/stan.12192
Reference38 articles.
1. Barber D.(2014).On solving ordinary differential equations using Gaussian processes. arXiv preprint arXiv:1408.3807.
2. D. Barber Y. Wang 2014 1485 1493
3. Bayesian two-step estimation in differential equation models
4. Efficient Bayesian estimation and uncertainty quantification in ordinary differential equation models
5. Virus dynamics and drug therapy
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1. Differential equations in data analysis;WIREs Computational Statistics;2020-11-30
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