Bayesian inference using two-stage Laplace approximation for differential equation models
We consider the problem of Bayesian inference for parameters in non-linear regression models whereby the underlying unknown response functions are formed by a set of differential equations. Bayesian methods of inference for unknown parameters rely primarily on the posterior obtained by Bayes rule. F...
| Main Authors: | Dass, S.C., Lee, J., Lee, K. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30660 / |
| Published: |
American Institute of Physics Inc.
2016
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005950985&doi=10.1063%2f1.4968163&partnerID=40&md5=cf2bb6e63722c1591f94ecc739befbbe http://eprints.utp.edu.my/30660/ |
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