| EPSRC Reference: |
GR/K65928/01 |
| Title: |
BAYESIAN NONPARAMETRIC POPULATION MODELS |
| Principal Investigator: |
Wakefield, Dr J |
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| Department: |
Mathematics |
| Organisation: |
Imperial College London |
| Scheme: |
ROPA |
| Starts: |
01 October 1995 |
Ends: |
30 September 1998 |
Value (£): |
124,119
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| EPSRC Research Topic Classifications: |
| Statistics & Appl. Probability |
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Summary on Grant Application Form |
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Parametric population models are now recognised as an integral part of the drug development process. These models explicitly model within and between individual variability in drug concentrations and responses using known parametric forms. The aim of this research is to develop suitable Bayesian nonparametric methods. The research will depend on the application of the Dirichlet process and Polya tree distributions.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.imperial.ac.uk |