Preprints

  • L. Dümbgen, K. Gysel and F. Perler (2021)
    Refining Independent Component Selection via Local Projection Pursuit [arXiv]
  • L. Dümbgen and Jon A. Wellner (2021)
    A New Approach to Tests and Confidence Bands for Distribution Functions [arXiv]
  • A. Mösching and L. Dümbgen (2020)
    Maximum Likelihood Estimation of a Likelihood Ratio Ordered Family of Distributions [arXiv]
  • Christof Strähl, Johanna F. Ziegel and L. Dümbgen (2018)
    Local Estimation of a Multivariate Density and its Derivatives [arXiv]
  • L. Davies and L. Dümbgen (2019/2021)
    Covariate Selection Based on an Assumption-Free Approach to Linear Regression with Exact Probabilities [arXiv]
  • L. Dümbgen and L. Davies (2018/2020)
    Connecting Model-Based and Model-Free Approaches to Linear Least Squares Regression [arXiv]
  • L. Dümbgen and David E. Tyler (2016)
    Geodesic Convexity and Regularized Scatter Estimators [arXiv]
  • L. Dümbgen (2004/2021)
    Exact Confidence Bounds in Discrete Models - Algorithmic Aspects of Sterne's Method [arXiv]