Lecture 14. Nuisance parameters and systematic uncertainties

Statistical Data Analysis

Dmitry V. Naumov (JINR)

Draft Outline

• TODO: nuisance parameters and constraint terms
• TODO: profiling vs marginalization
• TODO: impact tables and uncertainty breakdown

Exercises

Exercise

Show that the likelihood for a Poisson count \(n\) with expectation \(\mu\) is \[ L(\mu)=\frac{\mu^n e^{-\mu}}{n!}. \]