Abstract: Marginal probability distribution has been widely used as the probabilistic model in EDAs because of its simplicity and efficiency. However, the obvious shortcoming of the kind of EDAs lies ...

The main property of a discrete joint probability distribution can be stated as the sum of all non-zero probabilities is 1. The next line shows this as a formula. The marginal distribution of X can be ...

Keywords: Building inventory compilations. Rational polynomial coefficients (RPC). Three-dimensional (3D) models. High-resolution satellite images. Measurements. Digital elevation models. London.

Flexible stationary diffusion-type models are developed that can fit both the marginal distribution and the correlation structure found in many time series from, for example, finance and turbulence.

household’s level with the standardized precipitation evapotranspiration index (SPEI) as its building block. As the probability distribution of the SPEI is known, one can easily recover the marginal ...

This course is compulsory on the BSc in Actuarial Science and BSc in Financial Mathematics and Statistics. This course is available on the BSc in Data Science, BSc in Econometrics and Mathematical ...

The function $f(x, y)$ is a **joint probability distribution** or **probability mass function** of the discrete random variables $X$ and $Y$ if 1. $f(x,y)\ge 0$ for ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...