aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
multiDimICIModel.h File Reference

Abstract base class for all multi dimensionnal Causal Independency models. More...

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Classes

class  gum::MultiDimICIModel< GUM_SCALAR >
 abstract class for Conditional Indepency Models More...

Namespaces

namespace  gum
 gum is the global namespace for all aGrUM entities

Detailed Description

Abstract base class for all multi dimensionnal Causal Independency models.

Independance of Causal Influence (ICI) is a method of defining a discrete distribution that can dramatically reduce the number of prior probabilities necessary to define a distribution. (see "The Noisy-Average Model for Local Probability Distributions", Zagorecki, 2003) (see also "Canonical Probabilistic Models for Knowledge Engineering", Diez, Druzdzel, 2007)

Author
Pierre-Henri WUILLEMIN(_at_LIP6) & Christophe GONZALES(_at_AMU)

Definition in file multiDimICIModel.h.