A discrete-time stationary stochastic process with finite variance is said to have long memory if its autocorrelations tend to zero hyperbolically in the lag that is like a power of the lag, as the lag tends to infinity. This book presents basic theory and techniques of proving limit theorems for numerous statistics based on long memory processes.