Sentence examples for language of probability from inspiring English sources

Similarly, the Nonfoundationalist condition is still the most widely used and many would say most natural way of stating, in the language of probability theory, that a testimony fails to support that which is testified.

The arguably most significant development of the coherence theory in recent years has been the revival of C. I. Lewis's work and the research program he inspired by translating parts of the coherence theory into the language of probability.

(Swinburne, 2004) But the broader distinction between arguments that purport to command our rational assent and arguments that have the more modest goal of showing their conclusions to be to some (perhaps specified) extent confirmed is one that can be employed independently of the use of the language of probability.

(Or, if we let B be the proposition that the proportion of Fs that are G is r, and we let p(h | e) be the conditional probability of hypothesis h on evidence e, then we can express the above proportional syllogism in the language of probability as follows: p(Ga | Fa & B) = r).

The language of warnings of possible earth system impacts is the language of probability, not the language of certainty.

In fact, when psychologists attempt to measure personality or health cognitions, and tie such constructs in with health outcomes via the language of probability, they can be understood as engaging in ontological procedure similar to the authors of the classical adventure.

The language of modal probability logic allows for embedding of probabilities within probabilities, that is, it can for example reason about the probability that (possibly a different) probability is 1∕2.

When learning about probability and the language of chance in mathematics, use your Twitter network to offer a real world response to your questions.

He made important contributions to logic, the analysis of language, the theory of probability, and the philosophy of science.

Additionally, large numbers of parameters need to be estimated, and due to the sparsity characteristics of natural language, the probability of low- and zero-frequency events is estimated crudely and inaccurately using various smoothing algorithms.

In the language of IRT, the probability of correct response on an item depends on person's ability and characteristics of an item such as difficulty.