Lecture 7: Stochastic processes, optimal filtering, signal-to-noise ratio, sensitivity curves
Lecture 8: Frequentist statistics in GW astronomy – FAR, Fisher Matrix, PSD estimation
Lecture 9: Bayesian statistics in GW astronomy – PE, population inference
Practical 3: GW population analysis