Lectures related to Mixing (mathematics)

Explores limiting distribution in Markov chains and the implications of ergodicity and aperiodicity on stationary distributions.

Explores time series estimation, spectral representation, and p-variate analysis in depth.

Covers chaos properties, focusing on Lyapunov exponents and their role in chaotic dynamics and predictability.

Covers determinantal point processes, sine-process, and their extrapolation in different spaces.