Abstract: Chow and Liu considered the problem of approximating discrete joint distributions with dependence tree distributions where the goodness of the approximations were measured in terms of KL ...

A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Abstract: Computationally modelling the affective content of images has been extensively studied recently because of its wide applications in entertainment, advertisement, and education. Significant ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Somer G. Anderson is CPA, doctor of accounting, and an accounting ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...

A probability distribution of a random variable describes how the probabilities are distributed over the possible values of the random variable. A probability distribution shows the likelihood of ...

Vose is a Ruby implementation of the Vose Alias Method. It allows for sampling of random values from a discrete probability distribution. In simpler terms, this gem simulates a loaded die. This ...