Thesis
Estimation of conditional auto-regressive models
- Abstract:
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Conditional auto-regressive (CAR) models are frequently used with spatial data. However, the likelihood of such a model is expensive to compute even for a moderately sized data set of around 1000 sites. For models involving latent variables, the likelihood is not usually available in closed form.
In this thesis we use a Monte Carlo approximation to the likelihood (extending the approach of Geyer and Thompson (1992)), and develop two strategies for maximising this. One strategy is to...
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Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Keywords:
- Subjects:
- UUID:
-
uuid:6cc56943-2b4d-4931-895a-f3ab67e48e3a
- Deposit date:
- 2016-10-31
Terms of use
- Copyright holder:
- Sha, Z
- Copyright date:
- 2016
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