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prof.dr. A.J. Schmidt-Hieber (Johannes)

Hoogleraar

Over mij

Johannes Schmidt-Hieber is hoogleraar statistiek op de Universiteit Twente. Link naar persoonlijke webpagina

Expertises

Mathematics
Activation Function
Contraction
Gaussian Process
Neural Networks
Nonparametric Regression
Recovery
Business & Economics
Bayesian Analysis
Nonparametric Regression

Publicaties

Recent
Schmidt-Hieber, A. J., Schneider, L., Staudt, T., Krajina, A., Aspelmeier, T., & Munk, A. (2021). Posterior analysis of n in the binomial (n,p) problem with both parameters unknown—with applications to quantitative nanoscopy. Annals of statistics, 49(6), 3534-3558. https://doi.org/10.1214/21-AOS2096
Reiss, M. , & Schmidt-Hieber, A. J. (2020). Posterior contraction rates for support boundary recovery. Stochastic processes and their applications, 130(11), 6638. https://doi.org/10.1016/j.spa.2020.06.005
Reiss, M. , & Schmidt-Hieber, A. J. (2020). Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery. Annals of statistics, 48(3), 1432-1451. https://doi.org/10.1214/19-AOS1853
Finocchio, G. , & Schmidt-Hieber, J. (2020). Bayesian variance estimation in the Gaussian sequence model with partial information on the means. Electronic Journal of Statistics, 14(1), 239-271. https://doi.org/10.1214/19-EJS1671
Dunker, F., Eckle, K. , Proksch, K. , & Schmidt-Hieber, A. J. (2019). Tests for qualitative features in the random coefficients model. Electronic Journal of Statistics, 13(2), 2257-2306. https://doi.org/10.1214/19-EJS1570

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 4058
Hallenweg 19
7522NH  Enschede

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Postadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4058
Postbus 217
7500 AE Enschede