State-Space Methods for Time Series Analysis

Delve into the innovative world of time series analysis with State-Space Methods for Time Series Analysis by José Casals. Published by Taylor & Francis Ltd in 2020, this comprehensive paperback spans 270 pages, offering a thorough exploration of the state-space approach. This book outlines a variety of computational procedures applicable to linear models in state-space form, making it an essential resource for researchers and practitioners alike.

José Casals expertly discusses critical topics such as model estimation and signal extraction, providing readers with valuable insights into combining, decomposing, aggregating, and disaggregating state-space models. With its clear explanations and practical applications, this book is perfect for anyone looking to enhance their understanding of time series analysis and the powerful state-space methods that can be employed.

Unlock the potential of your data analysis with this essential guide from a leading expert in the field.