Abstract: This paper addresses models for time series of integer-valued variables. Such series arise in various applications, often as increment series for counts of interest. A model with a ...

The only commercial nuclear power plant in the U.S. Pacific Northwest is set for a $700-million upgrade that would add nearly 200 MW of generation capacity. The Columbia Generating Station in Richland ...

Charles Institute of Dermatology, School of Medicine, University College Dublin, Dublin 4 D04 V1W8, Ireland ...

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

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 ...

As is well known, the normal distribution is a key tool in probability and statistics. It can be described as a distribution that obeys a universal rule derived from one of the most important theorems ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

Abstract: One of the optimization algorithms for multi-dimensional functions is simulated annealing. In this paper, a modified simulated annealing (SA) is proposed which utilizes a memory to keep best ...