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- All roads lead to Rome: From stochastic fluid processes to Brownian motions
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- Home
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Student life & resources
Postgraduate research
- Info for new students
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- Michael Tallis PhD Research Travel Award
- Information about research theses
- Past research students
- Resources
- Entry requirements
- PhD projects
- Obtaining funding
- Application & fee information
Student services
- Help for postgraduate students
- Thesis guidelines
- School assessment policies
- Computing information
- Mathematics Drop-in Centre
- Consultation
- Statistics Consultation Service
- Academic advice
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- Application form for existing casual tutors
- ARC grants Head of School sign off
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Abstract:
Matrix-analytic methods have transformed many areas of stochastic modelling by exploiting the structure of the underlying stochastic processes and combining probabilistic insights with mathematical numerical techniques. These methods have been continually extended to analyse increasingly complex models, from block-structured Markov chains to stochastic fluid processes and, most recently, to Markov-modulated Brownian motions. In this talk, we will discuss new connections between stochastic fluid processes and Markov-modulated Brownian motions, and how these results help analyse Brownian motion models with complex boundary conditions.
Speaker
Giang Nguyen
Research Area
Statistics Seminar
Affiliation
University of Adelaide
Date
Tue, 03/05/2016 - 4:00pm
Venue
OMB G31, Old Main Building, UNSW