Skip to main content
Introduction to Bayesian Inference and Statistical Learning
Show table of contents
Table of contents
Welcome
1
Parameter Estimation
2
Distributions
3
Linear Regression
4
Generalized Regression
5
Bayesian Inference
6
Bayesian Modelling
7
Boosting
8
Feed-Forward Neural Networks
9
Quantile Regression
10
Mixed-Models
11
Nonlinear Effects: B-Splines
12
Nonlinear Effects: P-Splines
13
Bayesian Nonlinear Effects
Lecture 9
Quantile Regression
9.1
Overview
8
Feed-Forward Neural Networks
10
Mixed-Models
On this page
9
Quantile Regression
9.1
Overview