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The application of Geographic Information Systems (GIS) in analysing traffic accident hotspots has markedly advanced the understanding of road safety challenges. By integrating spatial analysis ...

Kernel density estimates, as commonly applied, generally have no exact model-based interpretation since they violate conditions that define coherent joint distributions. The issue of marginalization ...

Gordon Lee et al introduce a data-driven and model-agnostic approach for computing conditional expectations. The new method combines classical techniques with machine learning methods, in particular ...

One method of fitting a parametric density function f(x, θ) is first to estimate θ by maximum likelihood, say, and then to estimate f(x, θ) by f(x, θ̂). On the other hand, when the parametric model ...