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Least squares / Errors-in-variables models / Nonlinear regression / Bayesian linear regression / Expectation–maximization algorithm / Tikhonov regularization / Ordinary least squares / Total least squares / Regularization / Statistics / Regression analysis / Linear regression
Date: 2010-09-26 14:10:24
Least squares
Errors-in-variables models
Nonlinear regression
Bayesian linear regression
Expectation–maximization algorithm
Tikhonov regularization
Ordinary least squares
Total least squares
Regularization
Statistics
Regression analysis
Linear regression

Bayesian robot system identification with input and output noise

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