| Mind the Gap: Persistent and Mobile Organic Compounds Water Contaminants That Slip Through T Reemtsma, U Berger, HPH Arp, H Gallard, TP Knepper, M Neumann, ... Environmental science & technology 50 (19), 10308-10315, 2016 | 409 | 2016 |
| Wavelet thresholding in anisotropic function classes and application to adaptive estimation of evolutionary spectra MH Neumann, R Von Sachs The Annals of Statistics 25 (1), 38-76, 1997 | 209 | 1997 |
| On the effect of estimating the error density in nonparametric deconvolution MH Neumann, O Hössjer Journal of Nonparametric Statistics 7 (4), 307-330, 1997 | 190 | 1997 |
| Absolute regularity and ergodicity of Poisson count processes MH Neumann | 171 | 2011 |
| Exact risk analysis of wavelet regression JS Marron, S Adak, IM Johnstone, MH Neumann, P Patil Journal of computational and graphical statistics 7 (3), 278-309, 1998 | 160 | 1998 |
| Nonparametric estimation for Lévy processes from low-frequency observations MH Neumann, M Reiß | 151 | 2009 |
| Predictable dynamics in higher-order risk-neutral moments: Evidence from the S&P 500 options M Neumann, G Skiadopoulos Journal of Financial and Quantitative Analysis 48 (3), 947-977, 2013 | 145 | 2013 |
| Improving speech emotion recognition with unsupervised representation learning on unlabeled speech M Neumann, NT Vu ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019 | 136 | 2019 |
| Spectral density estimation via nonlinear wavelet methods for stationary non‐Gaussian time series MH Neumann Journal of time series analysis 17 (6), 601-633, 1996 | 135 | 1996 |
| Simultaneous bootstrap confidence bands in nonparametric regression MH Neumann, J Polzehl Journal of Nonparametric Statistics 9 (4), 307-333, 1998 | 129 | 1998 |
| A wavelet‐based test for stationarity R Von Sachs, MH Neumann Journal of time series analysis 21 (5), 597-613, 2000 | 117 | 2000 |
| Persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances pose an equivalent level of concern to persistent, bioaccumulative and toxic (PBT) and … SE Hale, HPH Arp, I Schliebner, M Neumann Environmental Sciences Europe 32, 1-15, 2020 | 110 | 2020 |
| Regression-type inference in nonparametric autoregression JP Kreiss, MH Neumann The Annals of Statistics 26 (4), 1570-1613, 1998 | 110 | 1998 |
| Probability and moment inequalities for sums of weakly dependent random variables, with applications P Doukhan, MH Neumann Stochastic Processes and their Applications 117 (7), 878-903, 2007 | 108 | 2007 |
| Pediatric reference intervals for alkaline phosphatase J Zierk, F Arzideh, R Haeckel, H Cario, MC Frühwald, HJ Groß, ... Clinical Chemistry and Laboratory Medicine (CCLM) 55 (1), 102-110, 2017 | 107 | 2017 |
| Problems related to confidence intervals for impulse responses of autoregressive processes A Benkwitz, MH Neumann, H Lütekpohl Econometric Reviews 19 (1), 69-103, 2000 | 103 | 2000 |
| Nonlinear wavelet estimation of time-varying autoregressive processes R Dahlhaus, MH Neumann, R Von Sachs | 103 | 1999 |
| Wavelet thresholding: beyond the Gaussian iid situation MH Neumann, R von Sachs Wavelets and statistics, 301-329, 1995 | 102 | 1995 |
| Bootstrapping neural networks J Franke, MH Neumann Neural computation 12 (8), 1929-1949, 2000 | 96 | 2000 |
| “We need to talk about ChatGPT”: The future of AI and higher education M Neumann, M Rauschenberger, EM Schön 2023 IEEE/ACM 5th International Workshop on Software Engineering Education …, 2023 | 93 | 2023 |
