A presentation on smoothing. This is a presentation and report I submitted for the class MATH 542D at CSUN. The topic for the semester was statistical computing.
The presentation focuses mostly on linear smoothers which can be written as a linear function of the data. Some theory and notation is introduced in the first few slides. After that a definition of linear smoothers. An example is given with the running average being represented as a matrix operation. The presentation also discusses bias-variance trade off, cross-validation, and quick introductions to other types of smoothers.
##File descriptions
smoothing.Rmd is the file that creates the presentation slides.
report.Rmd is the file I used to generate the text report for the project. It requires bookdown.
bit-numerical-mathematics.csl Set the citation style for the report.
reportbib.bib is the file I used to