activity
20042019
most citedConsistencies and rates of convergence of jump-penalized least squares estimators

116 citations · 182 across the 15 of their papers we have counts for

collaborators

15 papers

math.PR2019★ 1 cited

A Sub-Gaussian estimate for Dirichlet Heat Kernels on Tubular Neighbourhoods and Tightness of Conditional Brownian Motion

Olaf Wittich

We prove tightness of a family of path measures on tubes of small diameters around a closed and connected submanifold of another Riemannian m…

math.PR2019

A Convergence Result for Dirichlet Semigroups on Tubular Neighbourhoods and the Marginals of Conditional Brownian Motion

Vera Nobis, Olaf Wittich

We investigate yet another approach to understand the limit behaviour of Brownian motion conditioned to stay within a tubular neighbourhood around a closed and connected submanifol…

math.AP2017★ 6 cited

Quasi-steady state reduction for the Michaelis-Menten reaction-diffusion system

Martin Frank, Christian Lax, Sebastian Walcher +1

The Michaelis-Menten mechanism is probably the best known model for an enzyme-catalyzed reaction. For spatially homogeneous concentrations, QSS reductions are well known, but this…

math.ST2011★ 6 cited

Randomized algorithms for statistical image analysis and site percolation on square lattices

Mikhail A. Langovoy, Olaf Wittich

We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algorithm that a…

math.ST2011★ 3 cited

Multiple testing, uncertainty and realistic pictures

Mikhail A. Langovoy, Olaf Wittich

We study statistical detection of grayscale objects in noisy images. The object of interest is of unknown shape and has an unknown intensity, that can be varying over the object an…

stat.CO2011★ 2 cited

Computationally efficient algorithms for statistical image processing. Implementation in R

Mikhail A. Langovoy, Olaf Wittich

In the series of our earlier papers on the subject, we proposed a novel statistical hypothesis testing method for detection of objects in noisy images. The method uses results from…