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20052023
most citedAsymptotic equivalence for inference on the volatility from noisy observations

91 citations · 585 across the 27 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

math.ST2013

Model selection in a sparse heterogeneous framework

Laurent Cavalier, Markus Reiß

We consider a Gaussian sequence space model where has a diagonal covariance matrix $Σ=\diag(σ_λ^2)$. We consider the situation where the parameter vector $(f_λ…

math.ST2013★ 15 cited

High-frequency Donsker theorems for Lévy measures

Richard Nickl, Markus Reiß, Jakob Söhl +1

Donsker-type functional limit theorems are proved for empirical processes arising from discretely sampled increments of a univariate Lévy process. In the asymptotic regime the samp…

math.ST2013★ 25 cited

Adaptive function estimation in nonparametric regression with one-sided errors

Moritz Jirak, Alexander Meister, Markus Reiß

We consider the model of nonregular nonparametric regression where smoothness constraints are imposed on the regression function and the regression errors are assumed to decay…

math.ST2013

Testing the characteristics of a Lévy process

Markus Reiß

For equidistant observations of a Lévy process at time distance we consider the problem of testing hypotheses on the volatility, the jump measure and its Blumenthal-Getoo…

math.ST2013★ 72 cited

Estimating the quadratic covariation matrix from noisy observations: Local method of moments and efficiency

Markus Bibinger, Nikolaus Hautsch, Peter Malec +1

An efficient estimator is constructed for the quadratic covariation or integrated co-volatility matrix of a multivariate continuous martingale based on noisy and nonsynchronous obs…

math.ST2013★ 27 cited

Adaptive quantile estimation in deconvolution with unknown error distribution

Itai Dattner, Markus Reiß, Mathias Trabs

Quantile estimation in deconvolution problems is studied comprehensively. In particular, the more realistic setup of unknown error distributions is covered. Our plug-in method is b…