Bayesian Statistics Summary
Non-Parmetric: Monte Carlo Method
Importance Sampling
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Markov chain Monte Carlo (MCMC)
Metropolis–Hastings Algorithm
#Hamiltonian Monte Carlo (HMC)
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Non-Parmetric: Variational Inference (VI)
Parmetric: Paramter Estimation
Bernoulli Distribution
Multinomial Distribution
Normal Distribution
Bayesian Linear Regression
Simple Linear Regression
Bayesian GLM: Generalized Linear Model
#Bayesian GEE: General Linear Model
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Dynamic Linear Regression
Bayesian ARIMA
#Bayesian VAR
#Bayesian VECM
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Hierarchical Linear Regression
Bayesian Linear Mixed Effect Model
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Simultaneous Linear Regression
Bayesian Simultaneous Linear Regression
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Reference
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