This book provides a synthesis of concepts and materials that ordinarily appear separately in time series and econometrics literature, presenting a comprehensive review of both theoretical and applied concepts. Perhaps ...

Buy Now From Amazon

Product Review

This book provides a synthesis of concepts and materials that ordinarily appear separately in time series and econometrics literature, presenting a comprehensive review of both theoretical and applied concepts. Perhaps the most novel feature of the book is its use of Kalman filtering together with econometric and time series methodology. From a technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. This technique was originally developed in control engineering but is becoming increasingly important in economics and operations research. The book is primarily concerned with modeling economic and social time series and with addressing the special problems that the treatment of such series pose.

Similar Products

Time Series Analysis by State Space Methods: Second Edition (Oxford Statistical Science Series)Adaptive Markets: Financial Evolution at the Speed of ThoughtNew Introduction to Multiple Time Series AnalysisComputer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)Time Series AnalysisData Analysis Using Regression and Multilevel/Hierarchical ModelsMonetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework and Its Applications, Second Edition