Day 1: Probabilistic fundamentals and modelling

Introduction and descriptive statistics

By Sebastian Thöns. Download lecture 1 (PDF)

  • Introduction of course and lecturers
  • Numerical and graphical data description
  • Data pair description



Probability theory fundamentals

By Jochen Köhler. Download lecture 2 (PDF)

  • Definitions and axioms of probability
  • Set theory, probability theory and Bayesian updating
  • Uncertainty modelling with random variables



Probabilistic Modelling

By John Dalsgaard Sørensen. Download lecture 3 (PDF)

  • Maximum Likelihood Method
  • Bayesian regression analysis
  • Determination of model uncertainties
15 JUNE 2021