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Introduction to Bayesian Inference and Statistical Learning
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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 7
Boosting
7.1
Overview
6
Bayesian Modelling
8
Feed-Forward Neural Networks
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7
Boosting
7.1
Overview