Braun, Alina; Kohler, Michael; Langer, Sophie; Walk, Harro Convergence rates for shallow neural networks learned by gradient descent. (English) Zbl 07788892 Bernoulli 30, No. 1, 475-502 (2024). Reviewer: Raffaele Marino (Roma) MSC: 68T07 65K10 PDFBibTeX XMLCite \textit{A. Braun} et al., Bernoulli 30, No. 1, 475--502 (2024; Zbl 07788892) Full Text: DOI arXiv
Hansmann, Matthias; Kohler, Michael; Walk, Harro Correction to: “On the strong universal consistency of local averaging regression estimates”. (English) Zbl 1440.62090 Ann. Inst. Stat. Math. 71, No. 5, 1265-1269 (2019). MSC: 62F12 62J02 60F15 PDFBibTeX XMLCite \textit{M. Hansmann} et al., Ann. Inst. Stat. Math. 71, No. 5, 1265--1269 (2019; Zbl 1440.62090) Full Text: DOI
Hansmann, Matthias; Kohler, Michael; Walk, Harro On the strong universal consistency of local averaging regression estimates. (English) Zbl 1434.62033 Ann. Inst. Stat. Math. 71, No. 5, 1233-1263 (2019); correction ibid. 71, No. 5, 1265-1269 (2019). Reviewer: Annibal Parracho Sant’Anna (Rio de Janeiro) MSC: 62F12 62J02 60F15 PDFBibTeX XMLCite \textit{M. Hansmann} et al., Ann. Inst. Stat. Math. 71, No. 5, 1233--1263 (2019; Zbl 1434.62033) Full Text: DOI
Braun, Alina; Kohler, Michael; Walk, Harro On the rate of convergence of a neural network regression estimate learned by gradient descent. arXiv:1912.03921 Preprint, arXiv:1912.03921 [math.ST] (2019). BibTeX Cite \textit{A. Braun} et al., ``On the rate of convergence of a neural network regression estimate learned by gradient descent'', Preprint, arXiv:1912.03921 [math.ST] (2019) Full Text: arXiv OA License
Kohler, Michael; Krzyżak, Adam; Tent, Reinhard; Walk, Harro Nonparametric quantile estimation using importance sampling. (English) Zbl 1387.62052 Ann. Inst. Stat. Math. 70, No. 2, 439-465 (2018). MSC: 62G08 62G20 PDFBibTeX XMLCite \textit{M. Kohler} et al., Ann. Inst. Stat. Math. 70, No. 2, 439--465 (2018; Zbl 1387.62052) Full Text: DOI
Bauer, Benedikt; Devroye, Luc; Kohler, Michael; Krzyżak, Adam; Walk, Harro Nonparametric estimation of a function from noiseless observations at random points. (English) Zbl 1373.62122 J. Multivariate Anal. 160, 93-104 (2017). MSC: 62G05 62G20 PDFBibTeX XMLCite \textit{B. Bauer} et al., J. Multivariate Anal. 160, 93--104 (2017; Zbl 1373.62122) Full Text: DOI Link
Kohler, Michael; Müller, Florian; Walk, Harro Estimation of a regression function corresponding to latent variables. (English) Zbl 1328.62245 J. Stat. Plann. Inference 162, 88-109 (2015). MSC: 62G08 62G20 PDFBibTeX XMLCite \textit{M. Kohler} et al., J. Stat. Plann. Inference 162, 88--109 (2015; Zbl 1328.62245) Full Text: DOI
Kohler, Michael; Krzyżak, Adam; Walk, Harro Nonparametric recursive quantile estimation. (English) Zbl 1463.62093 Stat. Probab. Lett. 93, 102-107 (2014). MSC: 62G05 62G20 62G08 PDFBibTeX XMLCite \textit{M. Kohler} et al., Stat. Probab. Lett. 93, 102--107 (2014; Zbl 1463.62093) Full Text: DOI
Felber, Tina; Jones, Daniel; Kohler, Michael; Walk, Harro Weakly universally consistent static forecasting of stationary and ergodic time series via local averaging and least squares estimates. (English) Zbl 1279.62198 J. Stat. Plann. Inference 143, No. 10, 1689-1707 (2013). MSC: 62M20 62M10 PDFBibTeX XMLCite \textit{T. Felber} et al., J. Stat. Plann. Inference 143, No. 10, 1689--1707 (2013; Zbl 1279.62198) Full Text: DOI
Kohler, Michael; Walk, Harro On data-based optimal stopping under stationarity and ergodicity. (English) Zbl 1273.62192 Bernoulli 19, No. 3, 931-953 (2013). MSC: 62L15 62G08 91G20 62P05 65C60 PDFBibTeX XMLCite \textit{M. Kohler} and \textit{H. Walk}, Bernoulli 19, No. 3, 931--953 (2013; Zbl 1273.62192) Full Text: DOI arXiv Euclid
Jones, Daniel; Kohler, Michael; Walk, Harro Weakly universally consistent forecasting of stationary and ergodic time series. (English) Zbl 1365.62356 IEEE Trans. Inf. Theory 58, No. 2, 1191-1202 (2012). MSC: 62M20 62M10 60F05 62G20 PDFBibTeX XMLCite \textit{D. Jones} et al., IEEE Trans. Inf. Theory 58, No. 2, 1191--1202 (2012; Zbl 1365.62356) Full Text: DOI
Kohler, Michael; Krzyżak, Adam; Walk, Harro Estimation of the essential supremum of a regression function. (English) Zbl 1213.62068 Stat. Probab. Lett. 81, No. 6, 685-693 (2011). MSC: 62G08 62G20 62H12 PDFBibTeX XMLCite \textit{M. Kohler} et al., Stat. Probab. Lett. 81, No. 6, 685--693 (2011; Zbl 1213.62068) Full Text: DOI
Kohler, Michael; Krzyżak, Adam; Walk, Harro Optimal global rates of convergence for nonparametric regression with unbounded data. (English) Zbl 1153.62031 J. Stat. Plann. Inference 139, No. 4, 1286-1296 (2009). MSC: 62G08 62G20 PDFBibTeX XMLCite \textit{M. Kohler} et al., J. Stat. Plann. Inference 139, No. 4, 1286--1296 (2009; Zbl 1153.62031) Full Text: DOI
Kohler, Michael; Krzyżak, Adam; Walk, Harro Upper bounds for Bermudan options on Markovian data using nonparametric regression and a reduced number of nested Monte Carlo steps. (English) Zbl 1171.91341 Stat. Decis. 26, No. 4, 275-288 (2008). MSC: 91G70 60G40 62G08 65C05 91G20 93E24 PDFBibTeX XMLCite \textit{M. Kohler} et al., Stat. Decis. 26, No. 4, 275--288 (2008; Zbl 1171.91341) Full Text: DOI Link
Kohler, Michael; Krzyżak, Adam; Walk, Harro Rates of convergence for partitioning and nearest neighbor regression estimates with unbounded data. (English) Zbl 1085.62041 J. Multivariate Anal. 97, No. 2, 311-323 (2006). MSC: 62G08 62G20 62H12 PDFBibTeX XMLCite \textit{M. Kohler} et al., J. Multivariate Anal. 97, No. 2, 311--323 (2006; Zbl 1085.62041) Full Text: DOI
Kohler, Michael; Krzyżak, Adam; Walk, Harro Strong consistency of automatic kernel regression estimates. (English) Zbl 1049.62042 Ann. Inst. Stat. Math. 55, No. 2, 287-308 (2003). MSC: 62G08 62G20 PDFBibTeX XMLCite \textit{M. Kohler} et al., Ann. Inst. Stat. Math. 55, No. 2, 287--308 (2003; Zbl 1049.62042)
Györfi, László; Kohler, Michael; Krzyżak, Adam; Walk, Harro A distribution-free theory of nonparametric regression. (English) Zbl 1021.62024 Springer Series in Statistics. New York, NY: Springer. xvi, 647 p. (2002). Reviewer: H.Liero (Potsdam) MSC: 62G08 62G20 62-01 62-02 PDFBibTeX XMLCite \textit{L. Györfi} et al., A distribution-free theory of nonparametric regression. New York, NY: Springer (2002; Zbl 1021.62024) Full Text: DOI
Györfi, L.; Kohler, M.; Walk, H. Weak and strong universal consistency of semi-recursive kernel and partitioning regression estimates. (English) Zbl 0911.62032 Stat. Decis. 16, No. 1, 1-18 (1998). Reviewer: Chen Guijing (Hefei) MSC: 62G07 62G20 PDFBibTeX XMLCite \textit{L. Györfi} et al., Stat. Decis. 16, No. 1, 1--18 (1998; Zbl 0911.62032)