Multivariate Time Series With Linear State Space Structure is popular PDF and ePub book, written by Víctor Gómez in 2016-05-09, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Multivariate Time Series With Linear State Space Structure can be Read Online from any device for your convenience.
Multivariate Time Series With Linear State Space Structure Book PDF Summary
This book presents a comprehensive study of multivariate time series with linear state space structure. The emphasis is put on both the clarity of the theoretical concepts and on efficient algorithms for implementing the theory. In particular, it investigates the relationship between VARMA and state space models, including canonical forms. It also highlights the relationship between Wiener-Kolmogorov and Kalman filtering both with an infinite and a finite sample. The strength of the book also lies in the numerous algorithms included for state space models that take advantage of the recursive nature of the models. Many of these algorithms can be made robust, fast, reliable and efficient. The book is accompanied by a MATLAB package called SSMMATLAB and a webpage presenting implemented algorithms with many examples and case studies. Though it lays a solid theoretical foundation, the book also focuses on practical application, and includes exercises in each chapter. It is intended for researchers and students working with linear state space models, and who are familiar with linear algebra and possess some knowledge of statistics.
Detail Book of Multivariate Time Series With Linear State Space Structure PDF
- Author : Víctor Gómez
- Release : 09 May 2016
- Publisher : Springer
- ISBN : 9783319285993
- Genre : Mathematics
- Total Page : 553 pages
- Language : English
- PDF File Size : 15,5 Mb
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