Uncertainty is a key issue in decision analysis and other kinds of applications. Researchers have developed a number of approaches to address computations on uncertain quantities....
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
A consistent concept of logical probability affords the employment of interval probability. Such a concept which attributes probability to arguments consisting of premise and con...
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
This paper discusses decision making in the practically important situation where only partial prior information on the stochastic behavior of the states of nature expressed by im...
Normative study of probability-agreeing orderings of propositions, much of it rooted in a false but evocative conjecture of Bruno de Finetti, has typically sought to credal ration...
Sets of probability measures which form neighbourhoods of classical probability measures are studied. An application of Jeffrey’s rule of conditioning to forming neighbourhoods...
A protocol for the elicitation of imprecise probabilities based on linear programming is applied to the case of two continuous variables. Two medical experts were elicited. The re...
The main goal of this paper is to describe a new semantic for conditional independence in terms of no double counting of uncertain evidence. For ease of exposition, we use probabi...