Statistics, Bayesian Statistics, Optimization And Ml, Machine Learning, Programming.
Let θ = (σ², w) denote the parameters for a linear regression model with weights w and normally distributed errors of variance σ². If X represents an n×p matrix of full rank with p regressors and n rows, then θ specifies a probability distribution over possible target values y Suppose we observe y