Univ.-Prof. Dr. rer. nat. Harald Luschgy
Mathematik, Universität Trier
- 0651/201-3498
- 0651/201-3935
Graf, Siegfried; Luschgy, Harald
Quantization for probability measures with respect to the geometric mean errorMathematical proceedings of the Cambridge Philosophical Society. Bd. 136. H. 3. Cambridge [u.a.]: Cambridge Univ. Press 2004 S. 687 - 718
Luschgy, Harald; Pagès, Gilles
Sharp asymptotics of the functional quantization problem for Gaussian processesThe annals of probability. an official journal of the Institute of Mathematical Statistics. Bd. 32. H. 2. Beachwood, Ohio: Inst. of Mathematical Statistics 2004 S. 1574 - 1599
Graf, Siegfried; Luschgy, Harald; Pagès, Gilles
Functional Quantization and Small Ball Probabilities for Gaussian ProcessesJournal of theoretical probability. Bd. 16. H. 4. Dordrecht [u.a.]: Kluwer 2003 S. 1047 - 1062
Luschgy, Harald; Pagès, Gilles
Functional quantization of Gaussian processesJournal of functional analysis. Bd. 196. H. 2. Amsterdam [u.a.]: Elsevier 2002 S. 486 - 531
Luschgy, H.; Graf, S.; Univ., Trier
Quantization for probability measures in the Prohorov metric2002
Graf, Siegfried; Luschgy, Harald
Rates of convergence for the empirical quantization errorThe annals of probability. an official journal of the Institute of Mathematical Statistics. Bd. 30. H. 2. Beachwood, Ohio: Inst. of Mathematical Statistics 2002 S. 874 - 897
Graf, S.; Luschgy, H.
RESEARCH ARTICLES - Asymptotics of the Quantization Errors for Self-Similar ProbabilitiesReal analysis exchange. Bd. 26. H. 2. Macomb, Ill.: Univ. 2001 S. 795 - 810
Luschgy, Harald
Foundations of quantization for probability distributions[Online-Ressource]. Aufl. 2000 0 S. (Lecture notes in mathematics ; 1730)
Luschgy, H.
The quantization dimension of self-similar probabilities[Electronic edition]. Aufl. 2000 8 S. (MIP ; 0008)
Luschgy, H.
Articles - Minimaxity and Equivariance in Infinite DimensionTheory of probability and its applications. a publication of the Society for Industrial and Applied Mathematics. Bd. 43. H. 3. Philadelphia, Pa.: Society for Industrial and Applied Mathematics 1999 S. 388 - 404