Multivariate Time Series With Linear State Space Structure

Name: Multivariate Time Series With Linear State Space Structure
Brand: Springer International Publishing AG
SKU: 9783319803852
Price: 38040 HUF
Availability: InStock

Szerző: V CTOR G MEZ

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

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

Információk a könyvről

Szerző

V CTOR G MEZ

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2018

oldal

541

EAN

9783319803852

ISBN

9783319803852

Enbook ID

19684659

Kiadó

Springer International Publishing AG

Súly

8365

Méretek

155 x 235 x 31

Teljes leírás

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.

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Multivariate Time Series With Linear State Space Structure

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