The aim is to provide a characterization of full conditional measures on a finite Boolean algebra, obtained as lower envelope of the extensions of a full conditional probability defined on another finite Boolean algebra. Such conditional measures are conditional belief functions defined by means of a generalized Bayesian conditioning rule relying on a linearly ordered class of belief functions. This notion of Bayesian conditioning for belief functions is compared with other well-known conditioning rules by looking for those conditional measures that can be seen as lower conditional probabilities.
Conditional belief functions as lower envelopes of conditional probabilities in a finite setting / Coletti, Giulianella; Petturiti, Davide; Vantaggi, Barbara. - In: INFORMATION SCIENCES. - ISSN 0020-0255. - STAMPA. - 339:(2016), pp. 64-84. [10.1016/j.ins.2015.12.020]
Conditional belief functions as lower envelopes of conditional probabilities in a finite setting
VANTAGGI, Barbara
2016
Abstract
The aim is to provide a characterization of full conditional measures on a finite Boolean algebra, obtained as lower envelope of the extensions of a full conditional probability defined on another finite Boolean algebra. Such conditional measures are conditional belief functions defined by means of a generalized Bayesian conditioning rule relying on a linearly ordered class of belief functions. This notion of Bayesian conditioning for belief functions is compared with other well-known conditioning rules by looking for those conditional measures that can be seen as lower conditional probabilities.File | Dimensione | Formato | |
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