… In perception of action we could use multiple forward models to make multiple predictions
and, based on the correspondence between these predictions and the observed behaviour, …

… it is then possible to articulate different patterns of prediction. … Patterns of prediction Establishing
predictive validity in its … overview of patterns of prediction that allow to better positioning …

< jats: p> Practitioners of many skills face the need to make some realistic statement about
the likely outcome of a future'experiment of interest'on the basis of observed variability of …

… In this paper, we explore the rules that determine intuitive predictions and judgments of …
statistical prediction. Two classes of prediction are discussed: category prediction and numerical …

… our prediction algorithm or model, outputs a prediction of the form M = m1,..., mN . In general,
mi is a probability between 0 and 1 reflecting our degree of confidence in the prediction. …

… A key condition for this type of application of a prediction model is that predictions are
reliable. This means that when a 10% risk is predicted, on average 10% of patients with …

… prediction and fMRI predict. For each study, we identified whether the purported prediction
… a statistical procedure specifically designed to measure prediction, such as cross-validation …

This paper consists of an overview on universal prediction from an information-theoretic
perspective. Special attention is given to the notion of probability assignment under the self-…

… In this paper, we explore the rules that determine intuitive predictions and judgments of …
statistical prediction. Two classes of prediction are discussed: category prediction and numerical …

… The six chapters of Part I study prediction with incomplete data. Chapter 1 lays out the
classical problem of prediction with complete population data. It also discusses statistical …