Combining Bayesian method and Kalman smoother for detection additive outlier patches in autoregressive time series
From MaRDI portal
Publication:5087498
DOI10.1080/03610918.2018.1438618OpenAlexW2790785971MaRDI QIDQ5087498
Farideh Mohammadinia, Rahim Chinipardaz
Publication date: 1 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2018.1438618
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Influence functionals for time series (with discussion)
- Bayesian estimation of an autoregressive model using Markov chain Monte Carlo
- LEAVE-K -OUT DIAGNOSTICS IN STATE-SPACE MODELS
- Smoothing and Interpolation with the State-Space Model
- State space models for time series with patches of unusual observations
- A fast algorithm for signal extraction, influence and cross-validation in state space models
- Dynamic linear model diagnostics
- A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems
- Bayesian analysis of some outlier problems in time series
- Diagnosing Shocks in Time Series
- BAYESIAN ANALYSIS OF AUTOREGRESSIVE TIME SERIES VIA THE GIBBS SAMPLER
- ROBUST BAYESIAN ESTIMATION OF AUTOREGRESSIVE‐‐MOVING‐AVERAGE MODELS
- The Identification of Multiple Outliers in ARIMA Models
- The Effects of Seat Belt Legislation on British Road Casualties: A Case Study in Structural Time Series Modelling
- Evaluation of likelihood functions for Gaussian signals