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Published in 2018 at "TEST"
DOI: 10.1007/s11749-017-0553-3
Abstract: Variance estimation is a fundamental problem in statistical modelling and plays an important role in the inferences after model selection and estimation. In this paper, we focus on several nonparametric and semiparametric models and propose…
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Keywords:
estimation;
estimation semiparametric;
local averaging;
variance estimation ... See more keywords
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Published in 2017 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2016.08.002
Abstract: We propose rank-based estimation (R-estimators) as an alternative to Gaussian quasi-likelihood and standard semiparametric estimation in time series models, where conditional location and/or scale depend on a Euclidean parameter of interest, while the unspecified innovation…
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Keywords:
estimation;
location scale;
estimation semiparametric;
density ... See more keywords