Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, posing a ...

Maximum likelihood estimators for the parameters of a multivariate exponential Cdf are easily obtained from partial information about a random sample, censored or not. The partial information consists ...

Exponential growth is a pattern of data that shows greater increases with passing time, creating the curve of an exponential function.

Advancing to Section 5, visual representations of the probability density function (PDF) and cumulative distribution function (CDF) of the Beta-Ex-Gaussian distribution are presented. Section 6 ...

With that, Excel can generate a series of random numbers based on the data entered and the standard deviation. With this data you can then create a curved chart, known as a bell curve.

Normal or bell curve distribution can be used in portfolio theory to help portfolio managers maximize return and minimize risk.

The exponential distribution describes how long things take to happen when they are driven by many separate independent factors, such as market activity. It is also one of the best understood ...