A digital mathematical notebook rebuilt from the Statistical Learning and Large Data slide deck: clustering, PCA, supervised classification, smoothing, resampling, penalization, supervised dimension reduction, and ultrahigh-dimensional screening.

A digital mathematical notebook on time series: stochastic processes, dependence, stationarity, ACF and PACF, ARIMA, ETS, state-space models, Kalman filtering, spectral ideas, and forecast evaluation.

Here are my notes from the lectures on “Topological Data Analysis” that was held from Prof. Patrizio Frosini at UniPi in Jan 2025.