Twenty-one ML estimators for model selection
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Publication:1902566
DOI10.1016/0005-1098(95)00058-5zbMath0836.93061OpenAlexW2084545196WikidataQ126551419 ScholiaQ126551419MaRDI QIDQ1902566
Fredrik Gustafsson, Håkan Hjalmarsson
Publication date: 2 May 1996
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(95)00058-5
Estimation and detection in stochastic control theory (93E10) Research exposition (monographs, survey articles) pertaining to systems and control theory (93-02) Identification in stochastic control theory (93E12)
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Cites Work
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- On covariance function tests used in system identification
- Estimation of structure by minimum description length
- A universal prior for integers and estimation by minimum description length
- Stochastic complexity and modeling
- Modeling by shortest data description
- Asymptotically efficient selection of the order of the model for estimating parameters of a linear process
- The estimation of the order of an ARMA process
- Estimating the dimension of a linear system
- On predictive least squares principles
- Estimating the dimension of a model
- Statistical measurement of frequency response function
- Fitting autoregressive models for prediction
- Least-informative Bayesian prior distributions for finite samples based on information theory
- Relations between information criteria for model-structure selection Part 1. The role of bayesian model order estimation
- Regression and time series model selection in small samples
- Inconsistency of the AIC rule for estimating the order of autoregressive models
- Recursive estimation of mixed autoregressive-moving average order
- AR( infinity ) estimation and nonparametric stochastic complexity
- Selection of the order of an autoregressive model by Akaike's information criterion
- Posterior probabilities for choosing a regression model
- The prediction error of stationary Gaussian time series of unknown covariance
- Polynomial Regression from a Bayesian Approach
- Some Comments on C P