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23

ISIPTA
2005
IEEE

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Generalized Conditioning in Neighbourhood Models

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Generalized Conditioning in Neighbourhood Models

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Sets of probability measures which form neighbourhoods of classical probability measures are studied. An application of Jeﬀrey’s rule of conditioning to forming neighbourhoods of probability measures is proposed. Neighbourhoods that are closed for generalized conditioning according to this rule are characterized. They are shown to be exactly convex and bi-elastic neighbourhoods. Keywords. interval probability, robust statistics, non-additive probabilities, neighbourhood models

Damjan Skulj

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Bi-elastic Neighbourhoods | Classical Probability Measures | ISIPTA 2005 | Mathematics | Probability Measures |

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Added	25 Jun 2010
Updated	25 Jun 2010
Type	Conference
Year	2005
Where	ISIPTA
Authors	Damjan Skulj

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