research
∙
07/25/2023
Multiscale scanning with nuisance parameters
We investigate the problem to find anomalies in a d-dimensional random f...
share
research
∙
06/29/2023
Scheduling on parallel machines with a common server in charge of loading and unloading operations
This paper addresses the scheduling problem on two identical parallel ma...
research
∙
04/20/2023
Adaptive minimax optimality in statistical inverse problems via SOLIT – Sharp Optimal Lepskii-Inspired Tuning
We consider statistical linear inverse problems in separable Hilbert spa...
research
∙
04/04/2023
Connected and Autonomous Vehicle Scheduling Problems: Some Models and Algorithms
In this paper, we consider scheduling problems that arise in connected a...
research
∙
12/25/2022
Optimal regularized hypothesis testing in statistical inverse problems
Testing of hypotheses is a well studied topic in mathematical statistics...
research
∙
12/13/2022
On uniqueness and ill-posedness for the deautoconvolution problem in the multi-dimensional case
This paper analyzes the inverse problem of deautoconvolution in the mult...
research
∙
10/25/2022
Deautoconvolution in the two-dimensional case
There is extensive mathematical literature on the inverse problem of dea...
research
∙
09/11/2022
Efficiency Evaluation of Banks with Many Branches using a Heuristic Framework and Dynamic Data Envelopment Optimization Approach: A Real Case Study
Evaluating the efficiency of organizations and branches within an organi...
research
∙
07/27/2022
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data
For numerous parameter and state estimation problems, assimilating new d...
research
∙
07/27/2022
Towards quantitative super-resolution microscopy: Molecular maps with statistical guarantees
Quantifying the number of molecules from fluorescence microscopy measure...
research
∙
03/18/2022
Scheduling a single machine with compressible jobs to minimize maximum lateness
The problem of scheduling non-simultaneously released jobs with due date...
research
∙
12/10/2021
Minimax detection of localized signals in statistical inverse problems
We investigate minimax testing for detecting local signals or linear com...
research
∙
10/20/2020
Variational Multiscale Nonparametric Regression: Algorithms and Implementation
Many modern statistically efficient methods come with tremendous computa...
research
∙
05/15/2020
What is resolution? A statistical minimax testing perspective on super-resolution microscopy
As a general rule of thumb the resolution of a light microscope (i.e. th...
research
∙
04/09/2020
On the asymptotical regularization for linear inverse problems in presence of white noise
We interpret steady linear statistical inverse problems as artificial dy...
research
∙
06/19/2019
Bump detection in the presence of dependency: Does it ease or does it load?
We provide the asymptotic minimax detection boundary for a bump, i.e. an...
research
∙
02/22/2018