Is your feature request related to a problem? Please describe. It doesn't appear that there is an easy way to plot the marginal distribution for multivariate probability distributions. For example, ...

In this paper, we consider the function f p ( t )= 2p X 2 ( 2p t+p;p ) , where χ²(x; n) defined by X 2 ( x;p )= 2 −p/2 Γ( p/2 ) e −x/2 x p/2−1 , is the density function of a χ²-distribution with n ...

The Riemann hypothesis is the most important open question in number theory—if not all of mathematics. It has occupied experts for more than 160 years. And the problem appeared both in mathematician ...

Abstract: Except in the case of normal (i.e., Gaussian) distribution, it is very difficult to calculate the marginal probability distribution of ARMA signals. By using a particular form of modeling ...

1 Key Laboratory of Media Audio and Video (Communication University of China), Ministry of Education, Beijing, China 2 State Key Laboratory of Media Convergence and Communication, Communication ...

In the field of statistics and probability, marginal distribution plays a critical role in understanding the behavior of variables. It is a method used to determine the probability distribution of a ...

Objective: Climate change has effects on the economy development of any country. This paper aimed to fit the best marginal and joint distribution models of rainfall with minimum and maximum ...

Probability Distribution Functions is a Python package to help in different kind of probability distributions for a Data Scientist. Probability distributions are a must know for a Data Scientist. It ...

Abstract: Darwinian-type genetic algorithms stress the performance of an individual. If an individual has a high fitness, it also has a high probability to survive and to generate offspring. Since in ...