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Dümbgen, Lutz; Wellner, Jon A. (2023). A new approach to tests and confidence bands for distribution functions. Annals of statistics, 51(1), pp. 260-289. Institute of Mathematical Statistics 10.1214/22-AOS2249
Fissler, Tobias; Ziegel, Johanna F. (2021). Correction note: Higher Order Elicitability and Osband’s Principle. Annals of statistics, 49(1), p. 614. Institute of Mathematical Statistics 10.1214/20-AOS2014
Fissler, Tobias; Ziegel, Johanna F. (2016). Higher order elicitability and Osband’s principle. Annals of statistics, 44(4), pp. 1680-1707. Institute of Mathematical Statistics 10.1214/16-AOS1439
Schmidt-Hieber, Johannes; Munk, Axel; Dümbgen, Lutz (2013). Multiscale methods for shape constraints in deconvolution: Confidence statements for qualitative features. Annals of statistics, 41(3), pp. 1299-1328. Institute of Mathematical Statistics 10.1214/13-AOS1089
Dümbgen, Lutz; Samworth, Richard; Schuhmacher, Dominic (2011). Approximation by Log-Concave Distributions, with Applications to Regression. Annals of statistics, 39(2), pp. 702-730. Cleveland, Ohio: Institute of Mathematical Statistics 10.1214/10-AOS853
Dümbgen, Lutz; Walther, Günther (2008). Multiscale inference about a density. Annals of statistics, 36(4), pp. 1758-1785. Cleveland, Ohio: Institute of Mathematical Statistics 10.1214/07-aos521
Einmahl, John; de Haan, Laurens; Li, Deyuan (2006). Weighted approximations to tail copula processes with application to testing the extreme value condition. Annals of statistics, 34(4), pp. 1987-2014. Cleveland, Ohio: Institute of Mathematical Statistics 10.1214/009053606000000434
Hall, Peter; Molchanov, Ilya (2003). Sequential methods for design-adaptive estimation of discontinuities in regression curves and surfaces. Annals of statistics, 31(3), pp. 921-941. Institute of Mathematical Statistics 10.1214/aos/1056562467
