In the last article on time-series prediction, we talked about autocorrelation and how we can use it to determine if a signal has an underlying pattern. »

Autocorrelation (somtimes referred to as lagged-correlation) is defined as the linear dependence of a variable with itself at two points in time. Define: Cov(y_t, »