Algebraic geometry and statistical learning theory
Auteur :
Watanabe, Sumio
Éditeur :
Cambridge University Press
ISBN :
9780521864671
Date de publication :
13 août 2009
Dimensions :
21,0 x 15,0 x 2,5 cm
Poids :
540 g
Format :
book
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models are singular: mixture models, neural networks, HMMs, and Bayesian networks are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.