rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Probabilistic Networks and Expert Systems
  name:
    name part: Cowell, Robert G.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Dawid, A. Philip.
    role:
      role term: author.
  name:
    name part: Lauritzen, Steffen L.
    role:
      role term: author.
  name:
    name part: Spiegelhalter, David J.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 1999
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 324 p. online resource.
  abstract: Winner of the 2002 DeGroot Prize. Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors over a number of years, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms, emphasizing those cases in which exact answers are obtainable. It covers both the updating of probabilistic uncertainty in the light of new evidence, and statistical inference, about unknown probabilities or unknown model structure, in the light of new data. The careful attention to detail will make this work an important reference source for all those involved in the theory and applications of probabilistic expert systems. This book was awarded the first DeGroot Prize by the International Society for Bayesian Analysis for a book making an important, timely, thorough, and notably original contribution to the statistics literature. Robert G. Cowell is a Lecturer in the Faculty of Actuarial Science and Insurance of the Sir John Cass Business School, City of London. He has been working on probabilistic expert systems since 1989. A. Philip Dawid is Professor of Statistics at Cambridge University. He has served as Editor of the Journal of the Royal Statistical Society (Series B), Biometrika and Bayesian Analysis, and as President of the International Society for Bayesian Analysis. He holds the Royal Statistical Society Guy Medal in Bronze and in Silver, and the Snedecor Award for the Best Publication in Biometry. Steffen L. Lauritzen is Professor of Statistics at the University of Oxford. He has served as Editor of the Scandinavian Journal of Statistics. He holds the Royal Statistical Society Guy Medal in Silver and is an Honorary Fellow of the same society. He has, jointly with David J. Spiegelhalter, received the American Statistical Association’s award for an "Outstanding Statistical A…
  table of contents: Logic, Uncertainty, and Probability -- Building and Using Probabilistic Networks -- Graph Theory -- Markov Properties on Graphs -- Discrete Networks -- Gaussian and Mixed Discrete-Gaussian Networks -- Discrete Multistage Decision Networks -- Learning About Probabilities -- Checking Models Against Data -- Structural Learning.
  note: by Robert G. Cowell, A. Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter.
  subject:
    topic: Mathematics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Information Science and Statistics
  identifier: 9780387226309
  identifier: http://dx.doi.org/10.1007/b97670
  record info:
    record creation date: 100301
    record change date: 20151204181333.0
    record identifier: 978-0-387-22630-9