Optimal real-time filters for linear prediction problems
From MaRDI portal
Publication:1695675
DOI10.1515/jtse-2014-0019zbMath1499.62331OpenAlexW4233100190MaRDI QIDQ1695675
Publication date: 7 February 2018
Published in: Journal of Time Series Econometrics (Search for Journal in Brave)
Full work available at URL: https://hdl.handle.net/11475/13385
Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84)
Related Items
A prediction perspective on the Wiener–Hopf equations for time series ⋮ Optimal real-time filters for linear prediction problems
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Exact formulas for the Hodrick-Prescott filter
- Signal extraction from nonstationary time series
- Selection between models through multi-step-ahead forecasting
- A local spectral approach for assessing time series model misspecification
- A central limit theorem for stationary processes and the parameter estimation of linear processes
- Time series: theory and methods.
- Asymptotic theory of statistical inference for time series
- Optimal real-time filters for linear prediction problems
- Asymptotically optimal estimation in misspecified time series models
- Signal extraction. Efficient estimation, `unit root'-tests and early detection of turning points.
- A Nonlinear Algorithm for Seasonal Adjustment in Multiplicative Component Decompositions
- A nonparametric method for asymmetrically extending signal extraction filters
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
- An ARIMA-Model-Based Approach to Seasonal Adjustment
- INITIALIZING THE KALMAN FILTER FOR NONSTATIONARY TIME SERIES MODELS
- Computation of asymmetric signal extraction filters and mean squared error for ARIMA component models
- Signal Extraction Revision Variances as a Goodness-of-Fit Measure
- A Review of Some Modern Approaches to the Problem of Trend Extraction
- Seasonal adjustment with the X-11 method