multiDimICIModel.h File Reference

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

#include <agrum/base/core/bijection.h>
#include <agrum/base/multidim/implementations/multiDimReadOnly.h>
#include <agrum/base/multidim/ICIModels/multiDimICIModel_tpl.h>

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

Namespaces
namespace	gum
	gum is the global namespace for all aGrUM entities

Variables
template class GUM_SHARED_PUBLIC	gum::MultiDimICIModel< double >

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.