Discussion of Lectures 5
Xijia Liu
Department of Statistics, Umeå University
Lecture 5: Regression Models
Do you remember the names of prediction and prediction errors in the regression analysis?
MSE V.S. Likelihood function V.S. Loss function
Can you describe the basic idea of nonlinear extension in simple words?
What are the main challenges of this idea?
Can you explain what is overfitting problem?
What are the main reasons?
How do you interpret overfitting problem from variance-bias trade off point of view?