Category
page 1Graphical models
Bayesian network
probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph
graphical model
probabilistic model for which a graph expresses the conditional dependence structure between random variables
Markov random field
set of random variables
structural equation modeling
in data analysis
variational auto-encoder
deep learning generative model to encode data representation
causal inference
process of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect
conditional random field
class of statistical modeling method applied in pattern recognition and machine learning and used for structured prediction

path analysis
statistical method of testing cause/effect relationships

belief propagation
algorithm
collider
statistical variable
factor graph
bipartite graph representing the factorization of a function