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Thesis

Some aspects of complex statistical dependencies

Abstract:

In the first part parametric models for which the likelihood is intractable are discussed. A method for fitting such models when simulation from the model is possible is presented, which gives estimates that are linear functions of a possibly large set of candidate features. A combination of simulations based on a fractional design and sets of discriminant analyses is used to find an optimal estimate of the parameter vector and its covariance matrix. The procedure is an alternative to Appr...

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Institution:
University of Oxford
Oxford college:
Nuffield College
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author

Contributors

Role:
Supervisor
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
URN:
uuid:878f4fcf-30de-4cbb-93fe-a8645cd13ba0
Local pid:
ora:8953
Language:
English
Keywords:
Subjects:

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