What are Bayesian Networks?
Bayesian Intelligence provides a range of consulting services relating
to development, learning and training for Bayesian networks
and causal modelling. (See our services.)
Bayesian networks are flexible and intuitive
graphical models of systems of variables having unknown and uncertain
interrelations. We embrace all forms of Bayesian networks:
- Discrete and continuous
- Exact and stochastic
- Flat and hierarchical
- Causal and predictive
- Bayesian or frequentist
They efficiently perform probabilistic inference
given observations — for example, rapidly updating the
probability of a disease given the outcome of a diagnostic test.
They are also a very natural way to represent and reason about
causality, and we believe that the combination of causality and Bayesian
reasoning is what makes them special.
How to model with Bayesian networks (Quick introductory guide)
Bayesian networks - Wikipedia (For more general information)
People
Dr Owen Woodberry is a Director and Senior Consultant at Bayesian Intelligence.
He has worked in Bayesian networks since 2003, when he completed an honours
project on developing a model of native fish populations in the Goulburn
Broken Catchment, Victoria. He specializes in ecological models, knowledge
engineering BNs, teaching and support tool development.
Email:
owen.woodberry@bayesian-intelligence.com
Dr Steven Mascaro is a Director and Senior Consultant at Bayesian Intelligence.
He began working with BNs in 2006, contributing to the development of
Monash University's BN-based poker playing bot. He specializes in machine
learning BNs, data mining, computer simulation and BN automation tools. He
also has extensive experience with web application development.
Email:
steven.mascaro@bayesian-intelligence.com
Prof Ann
E. Nicholson cofounded Bayesian Intelligence with
Dr Kevin Korb in 2007. She is a professor at Monash University
who specializes in Bayesian network modelling. She is an expert in dynamic
Bayesian networks (BNs), planning under uncertainty, user modelling,
Bayesian inference methods and knowledge engineering BNs.
Dr Kevin
B. Korb, recently retired, cofounded Bayesian Intelligence with
Prof Ann Nicholson in 2007. He continues to engage in research on the theory and
practice of causal discovery of Bayesian networks (aka data mining
with BNs), machine learning, evaluation theory, the philosophy of
scientific method and informal logic.
Kevin Korb and Ann Nicholson are co-authors of a textbook
Bayesian Artificial Intelligence (Chapman Hall / CRC Press, 2010). This book
was chosen as an Outstanding Academic Title by Choice Magazine, a
publication of the American Library Association, where selection is
made based on "excellence in scholarship and presentation, the
significance of their contribution to the field, and their value as
important — often the first — treatment of their subject.'' Favourable
reviews of this text have appeared in 5 international journals,
including the Journal of the Royal Statistical Society A, 167(3), 572.
Korb and Nicholson have developed and presented tutorials and
short-courses on BN technology at conferences and to industry since
1999.
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Disclaimer
Bayesian Intelligence Pty Ltd is not affiliated with Monash University.
