Explores linear prediction, optimal filters, random signals, stationarity, autocorrelation, power spectral density, and Fourier transform in signal processing.
Introduces a virtual seminar on stochastic analysis, covering a wide range of topics and focusing on the mathematical challenges of the COVID-19 crisis.
Explores variance reduction techniques in stochastic simulation, emphasizing the use of auxiliary random variables and sample averages to improve efficiency.
