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1. Introduction

1.3

1.3.1 model in the mean

single explanatory variable
response variable y1,…,yn
regression model:
f(x,β) → relationship between the response and the predictor variable
mean & variable
 

1.3.2 Flexibility in the response quantile

 
when the quantity of interest is just one quantile → quantile regression model
data
predictor function f(x) depends on β
least square loss function :
 
 
 
 

2. Nonparametric regression

3. Quantile regression

4. Generalised Additive Models (GAMs)

5. Quantile regression extensions

6. Flexible regression extensions

SQLIntroduction to Statistics in R
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