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 ...

Probability distributions are fundamental tools in statistics and data science, allowing us to model the likelihood of different outcomes in a random event. Worth adding: while we often work with ...

Abstract: Computing and storing probabilities is a hard problem as soon as one has to deal with complex distributions over multiples random variables. The problem of efficient representation of ...

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 ...

Small solution sizes and high integration levels are required for extremely space-constrained systems, such as optical modules and solid-state drives (SSDs). While integrated power modules tend to be ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

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 ...

Hi, awesome library! My use case is to use RL for resource allocation. Therefore it's ideal if the input into the "step" method in the environment is a probability distribution which can correspond to ...