Bayesian observer models provide a principled account of the fact that our perception of the world rarely matches physical reality. The standard explanation is that our percepts are biased toward our ...

Functional data are defined as realizations of random functions (mostly smooth functions) varying over a continuum, which are usually collected on discretized grids with measurement errors. In order ...

Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 36, No. 2/3, Special Issue: Practical Bayesian Statistics (1987), pp. 289-296 (8 pages) This paper presents preliminary ...

In the past few years, researchers have turned increasingly to data science techniques to aid problem-solving in organic synthesis. The software adapts key principles of Bayesian Optimization (BO) to ...