Diffuse Kalman filtering with linear constraints on the state parameters
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Publication:6089145
DOI10.1080/03610926.2022.2084109OpenAlexW4281721416MaRDI QIDQ6089145
Unnamed Author, Adrian Pizzinga
Publication date: 17 November 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2022.2084109
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Signal detection and filtering (aspects of stochastic processes) (60G35)
Cites Work
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- Restricted Kalman filtering revisited
- Restricted Kalman filtering. Theory, methods, and application
- Further investigation into restricted Kalman filtering
- Estimation, filtering, and smoothing in state space models with incompletely specified initial conditions
- The diffuse Kalman filter
- Applying linear time-varying constraints to econometric models: With an application to demand systems
- Stochastic processes and filtering theory
- Diffuse Restricted Kalman Filtering
- Likelihood functions for state space models with diffuse initial conditions
- SMOOTHING WITH AN UNKNOWN INITIAL CONDITION
- Smoothing and Interpolation with the State-Space Model
- The Elements of Operator Theory
- The likelihood for a state space model
- A NONSTATIONARY TIME SERIES MODEL AND ITS FITTING BY A RECURSIVE FILTER
- Exact Initial Kalman Filtering and Smoothing for Nonstationary Time Series Models
- Filtering and smoothing of state vector for diffuse state-space models
- Introduction to Time Series and Forecasting
- INITIALIZATION OF THE KALMAN FILTER WITH PARTIALLY DIFFUSE INITIAL CONDITIONS
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