State-Space Methods for Time Series Analysis ─ Theory, Applications and Software
商品資訊
商品簡介
State-space models are a very flexible class of models used primarily in time series analysis. This book provides a synthesis of recent research in this area, with modern methods and computational guidance. It covers all the key topics, including linear state-space models, filtering and smoothing, signal extraction, subspace methods and aggregation/disaggregation. It includes lots of practical examples to illustrate the methods and is supported by a comprehensive MATLAB toolbox for all the computations.
作者簡介
Jose Casals, Alfredo Garcia-Hiernaux, Miguel Jerez and Sonia Sotoca Lopez are affiliated with Universidad Complutense, Spain. Alex Trindade is affiliated with Texas Tech University, USA.
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