Sentence examples for rule of probability from inspiring English sources

(Most English translations would render it as "the rule of probability" or the "doctrine of chance").

We argue that the diversity principle does not have the normative status that psychologists attribute to it, and should be replaced by a simple rule of probability.

Our discussion is focused on two main methods for probabilistic revision: Jeffrey's rule of probability kinematics and Pearl's method of virtual evidence, where we analyze and unify these methods from the perspective of the questions posed above.

The computation is based on a chain rule of probability theory given by Eq. (4).

Axiom IV is essentially the chain rule of probability: P CB | A) = P(C | BA) P(B | A).

Using the chain rule of probability [39], the posterior probabilistic distribution can be expressed as: pleft {boldsymbol{upalpha}}_t,{mathbf{S}}_t,{boldsymbol{Delta}}_t|{mathbf{X}}_tright propto pleft({mathbf{X}}_t|{mathbf{S}}_t,{boldsymbol{Delta}}_tright pleft({mathbf{S}}_t|{boldsymbol{upalpha}}_tright pleft {boldsymbol{upalpha}}_tright pleft {boldsymbol{Delta}}_tright).

And, like most of us, experts violate a fundamental rule of probabilities by tending to find scenarios with more variables more likely.

By the chain rule of probabilities, the joint probability distribution on the random variables in the graph can be decomposed into a product of the local conditional probabilities, i.e., if there are n random variables x i, i = 1,2,…, n and Pa(X i ) denotes the parents of x i in the graph, then the joint probability distribution factors as (8) Pr (X 1, X 2, …, X n ) = ∏ i = 1 n Pr (X i | Pa (X i ) ).

Breaking the rules of probability, and believability, Colleen Ryan and David Cleary kept finding each other again and again during the fall of 1996.

His mathematical genius enabled him to devise simple rules of probability for his own benefit and for his gambling contemporaries.

It is based on simple additive rules of probability (in contrast to other probabilistic approaches such as importance sampling).