Simulation and CLT
Explores a robust location estimator (Tukey's shorth) through simulation, examining its asymptotic normality and efficiency compared to the mean and median.
Explores a robust location estimator (Tukey's shorth) through simulation, examining its asymptotic normality and efficiency compared to the mean and median.
Explains why Monte Carlo simulation is essential for Bayesian hypothesis testing, using A/B testing and election forecasting as examples.
A mathematical puzzle about probability and expected number of turns in a random drawing game.