Bøger af Glenn Shafer

Both in science and in practical affairs we reason by combining facts only inconclusively supported by evidence. Building on an abstract understanding of this process of combination, this book constructs a theory of epistemic probability. It opens with a critique of the well-known Bayesian theory of epistemic probability.

Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness.