CiNii 図書 - Complex stochastic systems

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.

巻冊次: ISBN 9780854034536

内容説明

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.

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.

「Nielsen BookData」より

Complex stochastic systems

著者

書誌事項

大学図書館所蔵全11件

この図書・雑誌をさがす

注記

内容説明・目次

詳細情報

書き出し