Dynamic Linear Models by Petris Giovanni (19 results)

Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Condition: Very Good. This book is on Dynamic Linear Models (DLMs) and the development of an R package to analyze them.

Paperback. Condition: Good. This book is on Dynamic Linear Models (DLMs) and the development of an R package to analyze them.

Paperback. Condition: Good. This book is on Dynamic Linear Models (DLMs) and the development of an R package to analyze them.

Paperback. Condition: Very Good. This book is on Dynamic Linear Models (DLMs) and the development of an R package to analyze them.

Softcover. Condition: Gut. 251 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 9780387772370 Sprache: Englisch Gewicht in Gramm: 550.

paperback. Condition: new.

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Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New. pp. 268.

Condition: New.

Paperback. Condition: New. 2009 ed. State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms. The book illustrates all the fundamental steps needed to use dynamic linear models in practice, using R. Many detailed examples based on real data sets are provided to show how to set up a specific model, estimate its parameters, and use it for forecasting. All the code used in the book is available online. No prior knowledge of Bayesian statistics or time series analysis is required, although familiarity with basic statistics and R is assumed.…

Condition: New. pp. 268 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Paperback. Condition: New. 2009 ed. This book is on Dynamic Linear Models (DLMs) and the development of an R package to analyze them.

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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fully worked-out examples in the freely available statistical software R Guides the reader in a friendly way from the basics of the Bayesian approach to its practical application to time series analysis Coverage includes advanced Bayesian c.…