Chair of Spatial Data Science and Statistical Learning

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Introduction to Bayesian Inference and Statistical Learning

Lecture

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 13 Bayesian Nonlinear Effects

13.1 Overview

12 Nonlinear Effects: P-Splines

In this lecture

13 Bayesian Nonlinear Effects
13.1 Overview

Introduction to Bayesian Inference and Statistical Learning

University of Goettingen, Faculty of Business and Economics, Chair of Spatial Data Science and Statistical Learning