To view the thematic programmes taking place in this year, please click on the links below.
Programme theme: Many complex systems are observed through data which do not directly reflect the
underlying dynamics. Hidden Markov models (HMM) form a remarkably general and
elastic mathematical framework for modelling such partially observed systems. Recent
developments, based on the expectation-maximation (E-M) algorithm among others,
allow model testing and parameter estimation to be carried out within certain classes of
such systems. This Programme aims to further extend and exploit these developments
through applications to a range of problems of both local and international significance.
Further information can be found on the programme website.
Programme director: Emeritus Professor
David Vere-Jones (Victoria University of Wellington)
Programme committee:
Workshop details:
A workshop will take place in Wanaka the week of 29 June - 1 July 2005.
Further information is available on the workshop website.
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Programme theme: This six-month thematic programme will focus
on two broad areas of major importance: fleet and crew planning under uncertainty, and revenue management. Exploring
the interface between these two areas will be of particular interest. Our goal is to emphasize the interface between
mathematical optimization and its applications in practical situations. To enhance this we will be engaging the support
and participation of industrial partners.
Further information can be found on the programme website.
Programme director: Professor
Andy Philpott (University of Auckland)
Programme committee:
Workshop details:
A workshop will take place in Auckland the week of 19 - 22 April 2005.
Further information is available on the workshop website.
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Last updated on 27 October 2006
by
webmaster@nzima.auckland.ac.nz
Hidden Markov Models and Complex Systems
Mathematical Models for Optimizing Transportation Services