Readings in Unobserved Components Models
-5 %

Readings in Unobserved Components Models

 Taschenbuch
Besorgungstitel | Lieferzeit:3-5 Tage I

Unser bisheriger Preis:ORGPRICE: 83,00 €

Jetzt 79,05 €*

Alle Preise inkl. MwSt. | zzgl. Versand
ISBN-13:
9780199278695
Einband:
Taschenbuch
Erscheinungsdatum:
01.05.2005
Seiten:
458
Autor:
Andrew C. Harvey
Gewicht:
735 g
Format:
234x155x26 mm
Serie:
Advanced Texts in Econometrics
Sprache:
Englisch
Beschreibung:

SIGNAL EXTRACTION AND LIKELIHOOD INFERENCE FOR LINEAR UC MODELS; 1. Introduction; 2. Prediction Theory for Autoregressive-Moving Average Processes; 3. Exact Initial Kalman Filtering and Smoothing for Non-stationary Time Series Models; 4. Smoothing and Interpolation with the State Space Model; 5. Diagnostic Checking of Unobserved Components in Time Series Models; 6. Nonparametric Spline Regression with Autoregressive Moving Average Errors; UNOBSERVED COMPONENTS IN ECONOMIC TIME SERIES; 7. Introduction; 8. Univariate Detrending Methods with Stochastic Trends; 9. Detrending, Stylized Facts and the Business Cycle; 10. Stochastic Linear Trends, Models and Estimators; 11. Estimation and Seasonal Adjustment of Population Means Using Data from Repeated Surveys; 12. The Modelling and Seasonal Adjustment of Weekly Observations; TESTING IN UNOBSERVED COMPONENTS MODELS; 13. Introduction; 14. Testing for Deterministic Linear Trends in a Times Series; 15. Are Seasonal Patterns Stable Over Time? A Test for Seasonal Stability; NON-LINEAR AND NON- GAUSSIAN MODELS; 16. Introduction; 17. Times Series Models for Count Data or Qualitative Observations; 18. On Gibbs Sampling for State Space Models; 19. The Simulation Smoother; 20. Likelihood Analysis of Non-Gaussian Measurement Time Series; 21. Time Series Analysis of Non-Gaussian Observations based on State Space Models from both Classical and Bayesian Perspectives; 22. Stochastic Volatility: Liklihood Inference and Comparison with ARCH Models; 23. On Sequential Monte Carlo Sampling Methods for Bayesian Filtering
This volume presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. The book is intended to give a self-contained presentation of the methods and applicative issues. Harvey has made major contributions to this field and provides substantial introductions throughout the book to form a unified view of the literature.