Search Results - "Harro Walk"

The local approach to causal inference under network interference.

Authors: Auerbach, Eric Guo, Hongchang Tabord‐Meehan, Max

Source: Quantitative Economics. Jan2026, Vol. 17 Issue 1, p173-199. 27p.

Applied Harmonic Analysis and Data Science.

Source: Oberwolfach Reports. 2024, Vol. 21 Issue 2, p1163-1226. 64p.

Lossless Transformations and Excess Risk Bounds in Statistical Inference.

Authors: Györfi, László Linder, Tamás Walk, Harro

Source: Entropy. Oct2023, Vol. 25 Issue 10, p1394. 25p.

On Binscatter.

Authors: Cattaneo, Matias D. Crump, Richard K. Farrell, Max H. et al.

Source: American Economic Review. May2024, Vol. 114 Issue 5, p1488-1514. 27p.

Machine Learning For Financial Engineering

Authors: Laszlo Gyorfi Gyorgy Ottucsak Harro Walk

Resource Type: eBook.

Subjects: Machine learning, Financial engineering--Data processing, Investments--Data processing

Categories: COMPUTERS / Artificial Intelligence / General, BUSINESS & ECONOMICS / Finance / General, MATHEMATICS / Probability & Statistics / General

Correction to: On the strong universal consistency of local averaging regression estimates.

Authors: Hansmann, Matthias Kohler, Michael Walk, Harro

Source: Annals of the Institute of Statistical Mathematics. Oct2019, Vol. 71 Issue 5, p1265-1269. 5p.

On the strong universal consistency of local averaging regression estimates.

Authors: Hansmann, Matthias Kohler, Michael Walk, Harro

Source: Annals of the Institute of Statistical Mathematics. Oct2019, Vol. 71 Issue 5, p1233-1263. 31p.

The limit distribution of the maximum probability nearest-neighbour ball.

Authors: Györfi, László Henze, Norbert Walk, Harro

Source: Journal of Applied Probability. Jun2019, Vol. 56 Issue 2, p574-589. 16p.

Partitioning estimation of local variance based on nearest neighbors under censoring.

Authors: Ferrario, Paola Gloria^1,2 paola.ferrario@imbs.uni-luebeck.de

Source: Statistical Papers. Jun2018, Vol. 59 Issue 2, p423-447. 25p.

Nonparametric quantile estimation using importance sampling.

Authors: Kohler, Michael Krzyżak, Adam Tent, Reinhard et al.

Source: Annals of the Institute of Statistical Mathematics. Apr2018, Vol. 70 Issue 2, p439-465. 27p.

Superensemble classifier for improving predictions in imbalanced datasets.

Authors: Chakraborty, Tanujit Chakraborty, Ashis Kumar

Source: Communications in Statistics: Case Studies & Data Analysis. 2020, Vol. 6 Issue 2, p123-141. 19p.

A local maximum likelihood estimator for Poisson regression.

Authors: José Santos M. Neves

Source: Metrika. Nov2008, Vol. 68 Issue 3, p257-270. 14p.

Strong universal consistency of smooth kernel regression estimates.

Authors: Walk, Harro¹ walk@mathematik.uni-stuttgart.de

Source: Annals of the Institute of Statistical Mathematics. Dec2005, Vol. 57 Issue 4, p665-685. 21p.

Strong consistency of automatic kernel regression estimates.

Authors: Kohler, Michael Krzyżak, Adam Walk, Harro

Source: Annals of the Institute of Statistical Mathematics. Jun2003, Vol. 55 Issue 2, p287-308. 22p.

On a stochastic approximation procedure based on averaging.

Authors: Schwabe, Rainer Walk, Harro

Source: Metrika. Dec1996, Vol. 44 Issue 1, p165-180. 16p.

Asymptotic behaviour of a class of stochastic approximation procedures.

Authors: Berger, Erich¹

Source: Probability Theory & Related Fields. 1986, Vol. 71 Issue 4, p517-552. 36p.

Exploiting Environment Configurability in Reinforcement Learning

Authors: Alberto Maria Metelli

Resource Type: eBook.

Subjects: Reinforcement learning

Categories: COMPUTERS / Computer Science