The normal distribution (also known as the Gaussian distribution) is arguably the most important distribution in Statistics. It is often used to represent continuous random variables occurring in ...

Flexible stationary diffusion-type models are developed that can fit both the marginal distribution and the correlation structure found in many time series from, for example, finance and turbulence.

This is a preview. Log in through your library . Abstract We derive conditions under which a set of conditional and marginal probability distributions will uniquely specify an all-positive joint ...

For the clinical prediction of probability of pulmonary embolism (PE), the Pisa model is effective, based on a derivation cohort study of 1,100 patients with suspected PE (40% had PE) and a validation ...