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Gaussian Linear Models Gaussian Linear Models MIT Dr. Kempthorne Spring 2016 1MIT Gaussian Linear Models Gaussian Linear Models Linear Regression: Overview Ordinary Least Squares (OLS) Distribution Theory: Normal Regression Models Maximum Likelihood Estimation Generalized M Estimation Outline 1 Gaussian Linear Models Linear Regression: Overview Ordinary Least Squares (OLS) Distribution Theory: Normal Regression Models Maximum Likelihood Estimation Generalized M Estimation 2MIT Gaussian Linear Models Gaussian Linear Models Linear Regression: Overview Ordinary Least Squares (OLS) Distribution Theory: Normal Regression Models Maximum Likelihood Estimation Generalized M Estimation General Linear model .

Gaussian Linear Models Linear Regression: Overview Ordinary Least Squares (OLS) Distribution Theory: Normal Regression Models Maximum Likelihood Estimation Generalized M Estimation. Specifying Estimator Criterion in (2) Least Squares Maximum Likelihood Robust (Contamination-resistant) Bayes (assume β. j. are r.v.’s with known prior distribution)

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