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High-dimensional regression problems which reveal dynamic behavior are typically analyzed by time propagation of a few … number of factors. The inference on the whole system is then based on the low-dimensional time series analysis. Such … factors? We show that the difference of the inference based on the estimated time series and 'true' unobserved time series is …
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In many applications, covariates are not observed but have to be estimated from data. We outline some regression-type models where such a situation occurs and discuss estimation of the regression function in this context.We review theoretical results on how asymptotic properties of nonparametric...
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