There has been considerable research conducted on the development of statistical models for predicting crashes on highway facilities. Despite numerous advancements made for improving the estimation ...

There has been considerable research conducted over the last 20 years focused on predicting motor vehicle crashes on transportation facilities. The range of statistical models commonly applied ...

I would like sklearn to support Poisson, gamma and other Tweedie family loss functions. These loss distributions are widely used in industry for count and other long tailed data. Additionally, they ...

Abstract: Although radioactive decay is well known to be a Poisson process, most of the gamma-ray spectral analysis and counting techniques in common use today have been developed in the “Gaussian ...

We show in this section that the marginal moments of $Y_i$ may fail to exist for small $b$, while the log-likelihood, the conditional efficiency score, and the MLE ...

This paper presents a dynamical system based on the Poisson-Gamma construction for sequentially observed multivariate count data. Inherent to the model is a novel Bayesian nonparametric prior that ...

Abstract: Very recent technology proposes to acquire astrophysic data with L3CCD cameras in order to avoid the read-out noise due to the classical CCD acquisition. The physical process leading to the ...

Objectives: Poisson resampling has been introduced as a tool to simulate short time acquisition/low dose images. However, its validation is a challenge in clinical settings because of necessity for ...