We consider the sequential estimation of p, the probability of success in an infinite sequence of Bernoulli trials, when the loss incurred in stopping after n trials and estimating p by some function ...

Kernel density estimation is a way to get an idea of where in a region there is a high density of observations, and where there are low density. However, this doesn’t necessarily tell us all that much ...

This is a preview. Log in through your library . Abstract This study has two main goals: (1) to investigate the processes involved in visual estimation (part I of the study), and (2) to investigate ...

Rapid, accurate estimation of relative ligand affinities offers the potential to allow computational methods to direct drug design and development. Towards this goal we have developed two methods ...

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