This book examines robustness of time series forecasting. It evaluates sensitivity of the forecas...

This detailed review of long memory processes includes a thorough discussion of mathematical and ...

This book presents a comprehensive study of multivariate time series with linear state space stru...

This book explores widely used seasonal adjustment methods and recent developments in real time t...

This unique book provides an overview of continuous time modeling in the behavioral and related s...

Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes w...

The overarching aim of this open access book is to present self-contained theory and algorithms f...

This unique book provides an overview of continuous time modeling in the behavioral and relate...

Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processe...

Long-memory processes are known to play an important part in many areas of science and technology...

This book presents a comprehensive study of multivariate time series with linear state space s...

This book explores widely used seasonal adjustment methods and recent developments in real tim...