05710380

a

05710380 Holmes, Dawn E. Jain, Lakhmi C. Introduction to Bayesian networks. Holmes, Dawn E. (ed.) et al., Innovations in Bayesian networks. Theory and applications. Berlin: Springer (ISBN 978-3-540-85065-6/hbk). Studies in Computational Intelligence 156, 1-5 (2008). 2008 Berlin: Springer EN

doi:10.1007/978-3-540-85066-3_1

Summary: Reasoning with incomplete and unreliable information is a central characteristic of decision making, for example in industry, medicine and finance. Bayesian networks provide a theoretical framework for dealing with this uncertainty using an underlying graphical structure and the probability calculus. Bayesian networks have been successfully implemented in areas as diverse as medical diagnosis and finance. We present a brief introduction to Bayesian networks for those readers new to them and give some pointers to the literature.