Enno Mammen

Heidelberg University — Germany

Mathematics · Physical Sciences

45h-index8.9kcitations269works0.52yr avg
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Research Topics

Statistical Methods and Inference(157), Financial Risk and Volatility Modeling(46), Advanced Statistical Methods and Models(43), Statistical Methods and Bayesian Inference(42), Bayesian Methods and Mixture Models(28)

Publications269 total

Identification and estimation of interaction effects in nonparametric additive regression
Biometrika·2025
Local limit theorems and strong approximations for Robbins-Monro procedures
Statistics·2025
Pure interaction effects unseen by Random Forests
Computational Statistics & Data Analysis·2025· 3 citedOpen Access
Smooth backfitting for additive hazard rates
Scandinavian Journal of Statistics·2025Open Access
Common Drivers in Sparsely Interacting Hawkes Processes
arXiv (Cornell University)·2025Open Access
Super-efficient estimation of future conditional hazards based on time-homogeneous high-quality marker information
Biometrika·2025Open Access
pandemics: Monitoring a Developing Pandemic with Available Data
2024· 1 citedOpen Access
Efficient functional Lasso kernel smoothing for high-dimensional additive regression
The Annals of Statistics·2024· 1 cited
Pure interaction effects unseen by Random Forests
arXiv (Cornell University)·2024Open Access
Estimation of Panel Models with Group Structures in Fixed Effects:Extending the Standard Linear
CBS Research Portal (Copenhagen Business School)·2024Open Access
Testing For Global Covariate Effects in Dynamic Interaction Event Networks
Journal of Business and Economic Statistics·2023· 2 cited
Consistency of Random Forest Type Algorithms under a Probabilistic Impurity Decrease Condition
arXiv (Cornell University)·2023Open Access
Monitoring a developing pandemic with available data
arXiv (Cornell University)·2023Open Access
Low quality exposure and point processes with a view to the first phase of a pandemic
arXiv (Cornell University)·2023Open Access
Nonparametric estimation of locally stationary Hawkes processes
Bernoulli·2023· 3 cited
Local Limit Theorems and Strong Approximations for Robbins-Monro Procedures
arXiv (Cornell University)·2023· 1 citedOpen Access
Hilbertian additive regression with parametric help
Journal of nonparametric statistics·2023· 2 cited
Smooth Backfitting for Additive Hazard Rates
arXiv (Cornell University)·2023Open Access
Variable selection, monotone likelihood ratio and group sparsity
The Annals of Statistics·2023· 4 cited
Foundations of Modern Statistics
Springer proceedings in mathematics & statistics·2023· 5 cited
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Frequent Co-authors

Wolfgang Karl Härdle(8), Byeong U. Park(6), J. S. Marron(4), Joël L. Horowitz(3), Stefan Hoderlein(3), Young Lee(3), Alexandre B. Tsybakov(2), Oliver Linton(2), Jens Perch Nielsen(2), Sara van de Geer(2), Oleg Lepski(2), Irène Gijbels(2), Léopold Simar(2), Stefan Sperlich(2), Raymond J. Carroll(2), Jussi Klemelä(2), Valentin Konakov(2), Vladimir Spokoiny(1), Jianqing Fan(1), Berwin A. Turlach(1)