Applied Statistics - Week 6

In fact only Friday the 4th of January 2019

ERDA shared link to full week material: gO5mHZ7lhV

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):

AS2018_01_04_MultiVariateAnalysis1.pdf
Computer Exercise(s):

2par_discriminant.ipynb

fisher_discriminant.ipynb and data

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Last updated: 2nd of January 2019.