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User:Petecl/Books/mixmodels

From Wikipedia, the free encyclopedia
Mixture model
Mixture distribution
Probabilistic model
Density estimation
Unsupervised learning
Clustering
Compositional data
Jump-diffusion model
Mode (statistics)
Financial derivatives
Volatility smile
Local volatility
Mixture density
Convex combination
Discrete random variable
Probability mass function
Continuous random variable
Probability density function
Parametric family
Convex hull
Iterative algorithm
Expectation-maximization algorithm
SOCR
Expectation value
Arithmetic mean
Monte Carlo method
Markov chain
Bayes' theorem
Gibbs sampling
Gaussian distribution
Bernoulli distribution
Spectral method
Log-concave
Exponential distribution
Singular Value Decomposition
Euclidean subspace
Heavy-tailed distribution
Variance
Outlier
Categorical distribution
Mixture (probability)
Graphical model
Hierarchical Bayes model
RANSAC