Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
The Earth Institute Columbia University

iQRM Warm-Ups: Conditional Probability and Distributions

The iQRM Warm-Ups are short, half hour sessions that review the basics covered in iQRM. This is a tour of the foundational math without application. The seminar covers probability, the normal ...
IEEE

Stability Analysis of Probabilistic Boolean Networks With Switching Discrete Probability Distribution

Abstract: This article analyzes the stability of probabilistic Boolean networks (PBNs) with switching discrete probability distribution (DPD). First, the dynamics of PBNs with switching DPD is ...
GitHub

The-Collection-of-Mathematics-Problems

Add one integral question and update README(add change log).
IEEE

SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation

Abstract: We present SoundLoCD, a novel text-to-sound generation framework, which incorporates a LoRA-based conditional discrete contrastive latent diffusion model. Unlike recent large-scale sound ...
Utah State University

The Language of Probability

Probability theory describes the likelihood of different outcomes or distinct results from chance processes (sometimes referred to as experiments.) The set of all the possible outcomes of an ...
Utah State University

Continuous Random Variable Distribution Families

The probability density function of a uniform random variable looks like a horizontal line segment over the support. This indicates that for any interval of a given length within the support, the ...