Errors-in-variables models

Known as: Errors-in-variables, Errors-in-variables model, Measurement error model 
In statistics, errors-in-variables models or measurement error models are regression models that account for measurement errors in the independent… (More)
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DeconvolutionDummy variable (statistics)Fixed effects modelImportance sampling
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Papers overview

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2014
2014
Inferring Causal Directions in Errors-in-Variables Models
A method for inferring causal directions based on errors-in-variables models where both the cause variable and the effect… (More)
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2012
2012
Change detection in smart grids using errors in variables models
We consider fault detection through apparent changes in the bus susceptance parameters of modern power grids. We formulate the… (More)
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2011
2011
L2-optimal identification of MIMO errors-in-variables models
This paper extends an L2-optimal identification method for SISO errors-in-variables models (EIVMs) to cope with a MIMO case… (More)
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2006
2006
Identification of continuous-time errors-in-variables models
A novel direct approach for identifying continuous-time linear dynamic errors-in-variables models is presented in this paper. The… (More)
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Highly Cited
2006
Highly Cited
2006
Estimation of Nonlinear Errors-in-Variables Models for Computer Vision Applications
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints… (More)
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2005
2005
Strongly consistent coefficient estimate for errors-in-variables models
For the single-input-single-output (SISO) errors-in-variables system it is assumed that the system input is an ARMA process and… (More)
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2004
2004
Instrumental Variable Estimation of Nonlinear Errors-in-Variables Models
In linear specifications, the bias due to the presence of measurement error in a regressor can be entirely avoided when either… (More)
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2001
2001
Flexible Simulated Moment Estimation of Nonlinear Errors-in-Variables Models
Nonlinear regression with measurement error is important for estimation from microeconomic data. One approach to identification… (More)
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1998
1998
A STRUCTURE THEORY FOR LINEAR DYNAMIC ERRORS-IN-VARIABLES MODELS
We deal with problems connected with the identification of linear dynamic systems in situations when inputs and outputs may be… (More)
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Highly Cited
1993
Highly Cited
1993
NONPARAMETRIC REGRESSION WITH ERRORS IN VARIABLES
The effect of errors in variables in nonparametric regression estimation is examined. To account for errors in covariates… (More)
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