Conference item icon

Conference item

Gaussian processes for survival analysis

Abstract:

We introduce a semi-parametric Bayesian model for survival analysis. The model is centred on a parametric baseline hazard, and uses a Gaussian process to model variations away from it nonparametrically, as well as dependence on covariates. As opposed to many other methods in survival analysis, our framework does not impose unnecessary constraints in the hazard rate or in the survival function. Furthermore, our model handles left, right and interval censoring mechanisms common in survival anal...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

Actions


Access Document


Files:

Authors


More by this author
Department:
Oxford, MPLS, Statistics
Role:
Author
More by this author
Department:
University College
Role:
Author
More from this funder
Funding agency for:
Fernandez, T
Publisher:
Curran Associates Publisher's website
Volume:
29
Pages:
5021-5029
Publication date:
2016-12-05
Acceptance date:
2016-09-04
ISSN:
1049-5258
Pubs id:
pubs:661533
URN:
uri:db03c8ae-6e6b-4fdd-8c3d-edd217113b47
UUID:
uuid:db03c8ae-6e6b-4fdd-8c3d-edd217113b47
Local pid:
pubs:661533
ISBN:
978-1-5108-3881-9

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP