4 papers
Steady State Distribution and Stability Analysis of Random Differential Equations with Uncertainties and Superpositions: Application to a Predator Prey Model
Wolfgang Hoegele
We present a computational framework to investigate steady state distributions and perform stability analysis for random ordinary differential equations driven by parameter uncerta…
A Full-Density Approach to Simulating Random Iteration Equations with Applications
Wolfgang Hoegele
The goal of this study is to introduce a unified framework for simulating random iteration equations (RIE), understood as iteration equations containing random variables. The main…
Errors-In-Variables Model Fitting for Partially Unpaired Data Utilizing Mixture Models
Wolfgang Hoegele, Sarah Brockhaus
We introduce a general framework for regression in the errors-in-variables regime, allowing for full flexibility about the dimensionality of the data, observational error probabili…
A Stochastic-Geometrical Framework for Object Pose Estimation based on Mixture Models Avoiding the Correspondence Problem
Wolfgang Hoegele
Background: Pose estimation of rigid objects is a practical challenge in optical metrology and computer vision. This paper presents a novel stochastic-geometrical modeling framewor…