Sigma-Pi Structure with Bernoulli Random Variables: Power-Law Bounds for Probability Distributions and Growth Models with Interdependent Entities.
Arthur Matsuo Yamashita Rios de SousaHideki TakayasuDidier SornetteMisako TakayasuPublished in: Entropy (2021)
Keyphrases
- random variables
- probability distribution
- power law
- graphical models
- markov property
- joint distribution
- joint probability distribution
- conditional distributions
- stochastic processes
- stochastic optimization problems
- preferential attachment
- latent variables
- normal distribution
- probabilistic model
- marginal distributions
- bayesian networks
- conditional independence
- undirected graphical models
- upper bound
- hidden variables
- independent and identically distributed
- conditionally independent
- distribution function
- exponential family
- scale free
- conditional probability distributions
- marginal probabilities
- directed acyclic graph
- posterior distribution
- lead time
- approximate inference