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Ordinary least squares (OLS): a type of linear least squares method for estimating the unknown parameters in a linear regression model.
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Maximum likelihood estimation (MLE): a method of estimating the parameters of a statistical model, given observations.
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Markov chain Monte Carlo (MCMC) methods comprise a class of algorithms for sampling from a probability distribution.