The phrase "a probability assignment" is correct and usable in written English.
It can be used in contexts related to statistics, mathematics, or decision theory when referring to the assignment of probabilities to different outcomes or events.
Example: "In this experiment, we will create a probability assignment for each possible outcome to analyze the results effectively."
Alternatives: "a probability distribution" or "a probability allocation".
It happens that there is no such a probability assignment and this PSAT instance is unsatisfiable.
Strict atheists may insist on the rationality of a probability assignment of 0, as Oppy 1990 among others points out.
A formula in normal form has no nested probabilities nor propositions outside the scope of a probability assignment.
And we may continue: that a probability assignment can be made to respect some symmetry is trivial; that one can be made to respect all symmetries is contradictory.
Representation theorems equate a prior distribution over statistical hypotheses to a prediction rule, and thus to a probability assignment that can be given a subjective and behavioral interpretation.
Now it's not clear that we can make any sense of a probability assignment in which P(At & Bt) > P(At P Bt).
Other than such statistical models, in recent studies, researchers have shown seasonality pattern in the malaria incidence with the help of exponentially weighted moving average models (ARIMA) [30] and the Monte-Carlo Markov chain methods [31] with newly developed Bayesian techniques of a-priori probability assignment to the risk factors.
Finally, a different approach is considered when analyzing the class of probabilistic broadcast protocols, designed around the idea that each node forwards a received packet according to a characteristic probability assignment function (PAF), computed by each node in a distributed manner [10, 11].
The lower and upper bounds of an interval can be determined through a basic probability assignment, which includes the probability of the set bounded by two non-additive measures, namely belief and plausibility.
Alternatively, the action is set a t =p t (x t |xt−1) as a conditional probability assignment to measure the confidence in next step prediction.
He argues that a given probability assignment is choiceworthy only if it is an equilibrium of this deliberational dynamics.
