activity
20072019
most citedFast and Accurate Uncertainty Estimation in Chemical Machine Learning

167 citations · 218 across the 13 of their papers we have counts for

collaborators
Showing 2011Show all

7 papers · 1 filter

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.PR2011★ 7 cited

Algebraic polynomials and moments of stochastic integrals

Mikhail A. Langovoy

We propose an algebraic method for proving estimates on moments of stochastic integrals. The method uses qualitative properties of roots of algebraic polynomials from certain gener…

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…

math.ST2011★ 11 cited

Robust nonparametric detection of objects in noisy images

Mikhail A. Langovoy, Olaf Wittich

We propose a novel statistical hypothesis testing method for detection of objects in noisy images. The method uses results from percolation theory and random graph theory. We prese…

math.ST2011★ 10 cited

Detection of objects in noisy images 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…