… From now on we assume that w is one dimensional and that the variates are continuous. (To
some extent, similar results apply to lattice variates; see Daniels (1987).) Following the …

… depends not only on our choice, but also on some situation … not only on his choice of a
crop, but also on the weather. … are based on the assumption that we know the probabilities p1, …

… However, eliciting interval-valued probabilities from subject still poses a computational …
method for estimating interval probabilities for finite events. The method is based on the pairwise …

… To make sense of the operations on interval probability distributions, we must fix a semantics.
We choose the possible worlds semantics.This semantics (Section 4) captures the idea that…

… A quadruple consisting of a sample-space X, a r-field A of random events and a certain R-probability
on X; A will be called an R-(probability) field X; A; L Á , U Á . An important concept is …

… probability intervals to the general interval probability models and further to the models
allowing completely general convex sets of probabilities. … some theory on interval probabilities. …

… for interval probabilities may be of more practical interest than bounds obtained only on the
… · EXt}, and are more properly regarded as bounds on the distribution function of the positive …

… probability of the event on which we want to condition is 0. If we look at the intervals as derived
from classical probability … that assign probability 0 to the conditioning event; on Walley’s …

… Capacities of order 2 can be used for interval probabilities, see [5]. Interval-valued probability
functions have been based on classes of probability measures as in [9]. The Dempster–…

… a random closed interval [U, V] on the real line. Looselyspealing, the probability distributed
… relative to any Borel set A on a real line: (i) probability associated with intervals [U, V] c A, (ii) …