Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: Medical image segmentation is challenging because the boundaries of lesions are often hazy or unclear. As a result, how to better distinguish the lesion boundaries to improve segmentation ...

A special case of multivariate count data. The general case is often handled with copulas in the literature. The computationally difficult part is that most or almost all methods require numerical ...

Abstract: Sequential inspection is a technique employed to monitor product quality during the production process. For smaller batch sizes, the Acceptable Quality Limit (AQL) inspection theory is ...

An outline of the paper which will appear in full under the title, “A Law of Small Numbers in Markoff Chains,” presented to the American Mathematical Society in its meeting in New York, February 26, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

ABSTRACT: Background: Bivariate count data are commonly encountered in medicine, biology, engineering, epidemiology and many other applications. The Poisson distribution has been the model of choice ...

The Home Depot has completed the acquisition of SRS Distribution Inc. (SRS), fueling our next chapter of growth. Here’s how this is complementing our strategy to capture more of the Pro market.

dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...