The input value for the maximum spatial scan extent (K) of a prospective space-time scan statistical (PSTSS) technique is one important parameter that ensures accurate detection of the predictive hotspot of geographical point events. Currently, there is no general consensus on how to determine the optimal value of K that maximises the predictive accuracy, especially in crime hotspot prediction....

We consider the existence of pairs of probability ensembles which may be efficiently distinguished from each other given k samples but cannot be efficiently distinguished given k0 < k samples. It is well known that in any such pair of ensembles it cannot be that both are efficiently computable (and that such phenomena cannot exist for nonuniform classes of distinguishers, say, polynomial-size c...

This letter is in response to the discussion of our recent paper entitled " The effect of parameter uncertainty on achieved safety integrity of safety system " [1]. We are grateful to the discussants for their constructive comments and suggestions, and in particular their insight into our proposed methods to measure safety-related (SR) uncertainty. The detailed response is given below. We agree...

Predictions from science and engineering models depend on several input parameters. Global sensitivity analysis quantifies the importance of each input parameter, which can lead to insight into the model and reduced computational cost; commonly used sensitivity metrics include Sobol’ total sensitivity indices and derivative-based global sensitivity measures. Active subspaces are an emerging set...

This paper investigates the effect of conflict on firms' output value and input misallocation in the context of Palestine during the Second Intifada. Using a unique establishment-level dataset, we compare firms' outcomes and input usage over time across districts experiencing differential changes in conflict intensity. We show how conflict diminishes the total and per-worker value of firms' out...

Phase correlation techniques have been used in image registration to estimate image displacements. These techniques have been also used to estimate optical ow by applying it locally. In this work a di erent phase correlation-based method is proposed to deal with a deformation/translation motion model, instead of the pure translations that the basic phase correlation technique can estimate. Some...

This paper considers a statistical model for the detection mechanism of qualitative microbiological test methods with a parameter for the detection proportion (the probability to detect a single organism) and a parameter for the false positive rate. It is demonstrated that the detection proportion and the bacterial density cannot be estimated separately, not even in a multiple dilution experime...