STAT459-12S1 (C) Semester One 2012

Advanced Computational Statistics

0.1250 EFTS
20 Feb 2012 - 24 Jun 2012


Advanced Computational Statistics

Computational and theoretical aspects of modern randomized algorithms will be covered.  Such algorithms include Markov chains on graphs, Glauber dynamics, Markov random fields, Gibbs sampler, simulated annealing, interacting genealogical particle systems, etc. for statistical estimating, testing and learning.  Students and researchers in physics and biology as well as operations research and engineering will find it accessible and relevant.

For a full list of 2012 Honours courses, please refer to the Department of Mathematics and Statistics Honours Booklet Mathematics and Statistics Honours Booklet

Learning Outcomes

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.


Subject to approval of the Head of School.

Contact Person

Raazesh Sainudiin

Indicative Fees

Domestic fee $788.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

For further information see Mathematics and Statistics.

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