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...

### Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
Nuffield College
Role:
Author

#### Contributors

Division:
MPLS
Department:
Statistics
Role:
Supervisor
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
Language:
English
Keywords:
Subjects:
UUID:
uuid:878f4fcf-30de-4cbb-93fe-a8645cd13ba0
Local pid:
ora:8953
Deposit date:
2014-09-16