Kirjojen hintavertailu – 12 859 819 kirjaa ja 27 kauppaa

Kirjailija

Robert G. Cowell

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuosilta 1999–2007, suosituimpiin kuuluu Probabilistic Networks and Expert Systems. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Kirjojen julkaisuvuodet: 1999–2007.

Probabilistic Networks and Expert Systems

Probabilistic Networks and Expert Systems

Robert G. Cowell; Philip Dawid; Steffen L. Lauritzen; David J. Spiegelhalter

Springer-Verlag New York Inc.
2007
nidottu
WINNER OF THE 2001 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.
Probabilistic Networks and Expert Systems

Probabilistic Networks and Expert Systems

Robert G. Cowell; Philip Dawid; Steffen L. Lauritzen; David J. Spiegelhalter

Springer-Verlag New York Inc.
1999
sidottu
WINNER OF THE 2001 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.