@online{huang2025beta,
  author       = {Huang, Xuanqiang Angelo},
  title        = {Beta and Dirichlet Distributions},
  date         = {2025-02-01},
  organization = {Xuanqiang Angelo Huang's Blog},
  url          = {https://flecart.github.io/notes/beta-and-dirichlet-distributions/},
  langid       = {english},
  abstract     = {The beta distribution \# The beta distribution is a powerful tool for modeling probabilities and proportions between 0 and 1. Here's a structured intuition to grasp its essence: Core Concept \# The beta distribution, defined on [ 0 , 1 ] , is parameterized by two shape parameters:}
}