Results 241 to 250 of about 133,952 (267)

Covariate measurement error in generalized linear models

Biometrika, 1987
The EM algorithm is used to obtain estimators of regression coefficients for generalized linear models with canonical link when normally distributed covariates are masked by normally distributed measurement errors. By casting the true covariates as 'missing data', the EM procedure suggests an iterative scheme in which each cycle consists of an E-step ...
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Correction for Covariate Measurement Error in Nonparametric Longitudinal Regression

Biometrics, 2010
Summary We introduce a correction for covariate measurement error in nonparametric regression applied to longitudinal binary data arising from a study on human sleep. The data have been surveyed to investigate the association of some hormonal levels and the probability of being asleep.
Rummel, D., Augustin, T., Küchenhoff, H.   +2 more
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Minimum mean-squared error covariance shaping

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
The paper develops and explores applications of a linear shaping transformation that minimizes the mean squared error (MSE) between the original and shaped data, i.e., that results in an output vector with the desired covariance that is as close as possible to the input, in an MSE sense.
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Repeated Probit Regression When Covariates Are Measured With Error

Biometrics, 1999
Summary. This paper develops a model for repeated binary regression when a covariate is measured with error. The model allows for estimating the effect of the true value of the covariate on a repeated binary response. The choice of a probit link for the effect of the error‐free covariate, coupled with normal measurement error for the error‐free ...
Follmann, Dean A., Hunsberger, Sally A., Albert, Paul S.   +2 more
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Error covariance bounds for suboptimal filters with Lipschitzian drift and Poisson-sampled measurements

Automatica, 2020
Olga Yufereva, Aneel Tanwani
exaly  

Maximum likelihood estimation of inflation factors on error covariance matrices for ensemble Kalman filter assimilation

Quarterly Journal of the Royal Meteorological Society, 2012
Guocan Wu, Yongjiu Dai, Xiaogu Zheng
exaly  

Estimating background error covariance parameters and assessing their impact in the OSTIA system

Remote Sensing of Environment, 2016
Matthew Martin, Jonah Roberts-Jones
exaly  

A new structure for error covariance matrices and their adaptive estimation in EnKF assimilation

Quarterly Journal of the Royal Meteorological Society, 2013
Guocan Wu, Liqun Wang, Xiaogu Zheng
exaly  

Methods for systematic investigation of measurement error covariance matrices

Chemometrics and Intelligent Laboratory Systems, 2005
Lorenzo Vega-Montoto, Peter D Wentzell
exaly  

Error Covariance Penalized Regression: A novel multivariate model combining penalized regression with multivariate error structure

Analytica Chimica Acta, 2018
Jez Braga, Alejandro Olivieri, Franco Allegrini   +2 more
exaly