Complex stochastic systems
Author(s)
Bibliographic Information
Complex stochastic systems
Royal Society, c1991
- Other Title
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Philosophical transactions of the Royal Society of London. Series A, Mathematical and physical sciences
Available at 11 libraries
Note
Originally published: in Philosophical transactions of the Royal Society of London, series A, vol. 337 (no. 1647) p.307-428
Description and Table of Contents
- Volume
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ISBN 9780521436144
Description
This work looks at the numerical study of complex stochastic systems. The contributions feature several applications of these methods, such as the application to computer imaging analysis, the properties and controls of large computer networks and expert systems.
- Volume
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ISBN 9780854034536
Description
Current research on statistical topics spans a wide range of ideas and fields of application. Much is connected with the systematic theory of methods for the analysis of empirical data, especially for situations, common in many areas of science and technology, where the random or haphazard element in the data is too strong to be ignored. Modern computer technology has allowed the development of new methods, appealing graphical displays of analyses and also the application of ideas long known in principle but until relatively recently too complicated for other than occasional use. In an important band of applications the complex structure and large volume of data are of the essence rather than an incidental complication. In 1986 the Science and Engineering Research Council recognized the existence of these newer kinds of application by launching an Initiative under the name Complex Stochastic Systems. The papers included in this volume represent part of the work supported under that Initiative.
Topics covered include the study of large communication networks, statistical image analysis, probabilistic expert systems, statistical calibration, and innovative numerical integration techniques required in a variety of contexts associated with Complex Stochastic Systems. Taken together, the papers illustrate the blend in modern statistics of basic methodology, supported by state-of-the-art computational and graphics facilities, with influential applicability in areas of endeavour such as telecommunications, medical diagnosis, chemometrics, remote sensing, medical imaging and many other branches of science, technology and industry.
Table of Contents
- Introductory remarks, D.R. Cox and D.M. Titterington
- chemometrics and spectral frequency selection, P.J. Brown, et al
- global and local priors and the location of lesions using gamma-camera imagery, R.G. Aykroyd and P.J. Green
- network routing, F.P. Kelly
- Bayesian computational methods, A.F.M. Smith
- probabilistic expert systems and graphical modelling - a case study in drug safety, D.J. Spiegelhalter, et al
- estimation of parameters in hidden Markov models, W. Quian and D.M. Titterington.
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