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Estimation in autoregressive model with measurement error
autoregressive model markov chain weak dependent deconvolution semi-parametric nonlinear autoregressive model
2011/6/16
Consider an autoregressive model with measurement error: we observe
Zi = Xi+εi, where Xi is a stationary solution of the equation Xi = f0(Xi−1)+ξi. The
regression function f0 is known up to ...
Does adjustment for measurement error induce positive bias if there is no true association?
adjustment measurement error positive bias true association
2010/3/18
This article is a response to an off-the-record discussion that I had at an international meeting of epidemiologists. It centered on a concern, perhaps widely spread, that measurement error
adjustmen...
Variable selection in measurement error models
errors in variables estimating equations measurement error models non-concavepenalty function SCAD semi-parametric methods
2010/3/10
Measurement error data or errors-in-variable data have been collected in many studies. Natural
criterion functions are often unavailable for general functional measurement error models due
to the la...
Bayesian inference for an extended simple regression measurement error model using skewed priors
Berkson model non-informative prior non-random sample pseudo-Bayes factor regression calibration structural error model Winbugs
2009/9/22
In this paper, we introduce a Bayesian extended regression model
with two-stage priors when the covariate is positive and measured with error.
Connections are made with some results in Arellano-Vall...
Multivariate Spatiotemporal CDFs with Random Effects and Measurement Error
Air pollution Bayesian methods Change of support problem Kriging Markov chain Monte Carlo (MCMC) methods
2009/9/21
Spatial cumulative distributions (SCDFs) are useful in environmental applica-
tions for example, by helping assess the fraction of a region exposed to harmful
pollutants. Data sets containing the re...
Asymptotic Efficiency of Method of Moments Estimators Under Null Intercept Measurement Error Regression Models
Asymptotic Efficiency Null Intercept Measurement Error Regression Models
2009/9/17
Asymptotic Efficiency of Method of Moments Estimators Under Null Intercept Measurement Error Regression Models。
A Bayesian Inference for the Extended Skew-Normal Measurement Error Model
Bayesian Inference Skew-Normal Measurement Error Model
2009/9/17
A Bayesian Inference for the Extended Skew-Normal Measurement Error Model。
SIMEX and standard error estimation in semiparametric measurement error models
Berkson measurement errors measurement error misspecified models nonparametric regression radiation epidemiology semiparametric models
2009/9/16
SIMEX is a general-purpose technique for measurement error correction. There is a substantial literature on the application and theory of SIMEX for purely parametric problems, as well as for purely no...