Statistical Issues
Preface
How to read
Structure
Software
Acknowledgments
I Introduction
1
Introduction
II Statistics
2
Statistical Concepts
III Inference
3
Statistical Inference
3.1
Classical Inference Techniques
3.2
Bayesian Inference Techniques
IV Modelling
4
Introduction {mod_intro}
4.1
Example one
4.2
Generalized additive models
4.3
GAM
4.4
GAM
4.5
Practice MGCV
4.5.1
Basics of gam model
4.5.2
Smoothing several variables
5
Survival Analysis
5.1
Another section
V Programming
6
Final Words
VI Mathematics
7
Linear Algebra
7.1
Linear Algebra Concepts
7.1.1
Linear Transformation
7.1.2
Change of Basis
7.1.3
Change of Basis for Linear Transformations
7.1.4
Eigenvalues and Eigenvectors
7.1.5
Cauchy–Schwartz inequality
8
here
9
Newton-Raphson and Gradient Descent
10
Here we go
References
Published with bookdown
Statistical Issues
Chapter 7
Linear Algebra