Laplace based approximate posterior inference for differential equation models
Ordinary differential equations are arguably the most popular and useful mathematical tool for describing physical and biological processes in the real world. Often, these physical and biological processes are observed with errors, in which case the most natural way to model such data is via regress...
| Main Authors: | Dass, S.C., Lee, J., Lee, K., Park, J. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19515 / |
| Published: |
Springer New York LLC
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961615481&doi=10.1007%2fs11222-016-9647-0&partnerID=40&md5=d758663601ac280ee350e0e7a75f3a05 http://eprints.utp.edu.my/19515/ |
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