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20052011
most citedAsymptotic equivalence for inference on the volatility from noisy observations

91 citations · 170 across the 6 of their papers we have counts for

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math.ST201191 cited

Asymptotic equivalence for inference on the volatility from noisy observations

Markus Reiß

We consider discrete-time observations of a continuous martingale under measurement error. This serves as a fundamental model for high-frequency data in finance, where an efficient…

math.ST2011

Asymptotic Equivalence for Nonparametric Regression with Non-Regular Errors

Alexander Meister, Markus Reiß

Asymptotic equivalence in Le Cam's sense for nonparametric regression experiments is extended to the case of non-regular error densities, which have jump discontinuities at their e…

math.ST20095 cited

Pointwise adaptive estimation for robust and quantile regression

Markus Reiss, Yves Rozenholc, Charles-Andre Cuenod

A nonparametric procedure for robust regression estimation and for quantile regression is proposed which is completely data-driven and adapts locally to the regularity of the regre…

math.ST200855 cited

Nonlinear estimation for linear inverse problems with error in the operator

Marc Hoffmann, Markus Reiss

We study two nonlinear methods for statistical linear inverse problems when the operator is not known. The two constructions combine Galerkin regularization and wavelet thresholdin…

math.ST200718 cited

Nonparametric estimation for Lévy processes from low-frequency observations

Michael H. Neumann, Markus Reiss

We suppose that a Lévy process is observed at discrete time points. A rather general construction of minimum-distance estimators is shown to give consistent estimators of the Lévy-…

math.ST20061 cited

Asymptotic equivalence for nonparametric regression with multivariate and random design

Markus Reiß

We show that nonparametric regression is asymptotically equivalent in Le Cam's sense with a sequence of Gaussian white noise experiments as the number of observations tends to infi…