Narrow your search

Library

VUB (4)

KU Leuven (2)

UGent (2)

ULiège (2)

EhB (1)

UCLouvain (1)

UHasselt (1)

ULB (1)


Resource type

book (4)


Language

English (4)


Year
From To Submit

2019 (1)

2012 (1)

1999 (1)

1998 (1)

Listing 1 - 4 of 4
Sort by
Graphical models
Author:
ISBN: 0198522193 9780198522195 Year: 1998 Volume: 17 Publisher: Oxford: Clarendon,

Probabilistic networks and expert systems
Authors: --- ---
ISBN: 0387987673 9786610145782 1280145781 0387226303 Year: 1999 Publisher: New York (N.Y.) : Springer,

Loading...
Export citation

Choose an application

Bookmark

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.

Keywords

519.2 --- Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- Mathematics. --- Artificial intelligence. --- Probabilities. --- Statistics. --- Probability Theory and Stochastic Processes. --- Statistical Theory and Methods. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Artificial Intelligence (incl. Robotics). --- Expert systems (Computer science) --- Probabilities --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Artificial intelligence --- Computer systems --- Soft computing --- Stochastic processes --- Artificial intelligence. Robotics. Simulation. Graphics --- Expert systems (Computer science). --- Systèmes experts (Informatique) --- Probabilités --- EPUB-LIV-FT SPRINGER-B --- Distribution (Probability theory. --- Mathematical statistics. --- Artificial Intelligence. --- Statistics . --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Expert systems (computer science)


Book
Graphical Models with R
Authors: --- --- ---
ISBN: 9781461422990 Year: 2012 Publisher: Boston MA Springer US

Loading...
Export citation

Choose an application

Bookmark

Abstract

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences.  Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years.  In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software.  This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages.  In addition, the book provides examples of how more advanced aspects of graphical modeling can be represented and handled within R.  Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data. Søren Højsgaard is Associate Professor in Statistics and Head of the Department of Mathematical Sciences at Aalborg University. David Edwards is Associate Professor at the Department of Molecular Biology and Genetics, Aarhus University. Steffen Lauritzen is Professor of Statistics and Head of the Department of Statistics at the University of Oxford.


Book
Handbook of graphical models
Authors: --- --- ---
ISBN: 9780429463976 0429463979 9780429874239 0429874235 9780429874222 0429874227 9780429874246 0429874243 9781498788625 1498788629 Year: 2019 Publisher: Boca Raton, FL CRC Press

Loading...
Export citation

Choose an application

Bookmark

Abstract

Keywords

Listing 1 - 4 of 4
Sort by