Applied Statistics - Week 6
In fact only Friday the 3rd of January 2020
The following is a description of what we will go through during this
week of the course. The chapter references and computer exercises are
considered read, understood, and solved by the beginning of the
following class, where I'll shortly go through the exercise
solution.
General notes, links, and comments:
Lady tasting tea (Wikipedia).
Short note on Lady tasting tea.
Friday:
We will use two days for the last "major" theme in this course,
which is
MultiVariate Analysis (MVA), that is analysis of data
with more than one (typically many) variables. To begin with, we will
consider the relatively simple linear case, which is described by
Fisher's Discriminant, and then move on to more complex sets of
data, for which more advanced non-linear methods, such as Neural
Networks (NN) and Boosted Decision Trees (BDT) are more useful.
Reading:
NOTE: You should by now have read curriculum (roughly Barlow chapters 1-8).
Lecture(s):
AS2019_01_03_BayesTheorem.pdf
AS2019_01_03_MultiVariateAnalysis1.pdf
Computer Exercise(s):
2par_discriminant.ipynb
fisher_discriminant.ipynb and
data.
Last updated: 1st of January 2020.