We present a computational design method that optimizes the reinforcemen...
Perfect radar pulse compression coding is a potential emerging field whi...
We propose to use Lévy α-stable distributions for constructing
priors fo...
Gaussian processes are a key component of many flexible statistical and
...
We consider geometry parameter estimation in industrial sawmill fan-beam...
In industrial applications it is common to scan objects on a moving conv...
We propose a statistical model for narrowing line shapes in spectroscopy...
The use of Cauchy Markov random field priors in statistical inverse prob...
Deconvolution is a fundamental inverse problem in signal processing and ...
In this article, we study Bayesian inverse problems with multi-layered
G...
We propose a Bayesian statistical model for analyzing coherent anti-Stok...
X-ray tomography has applications in various industrial fields such as
s...
This paper is concerned with the theoretical understanding of α-stable
s...
This paper is concerned with the theoretical understanding of α-stable
s...
Gaussian processes are valuable tools for non-parametric modelling, wher...