Nicolai Meinshausen
机构: Professor of Statistics, ETH Zurich
每年引用次数
引用次数
引用: 25,455
H-指数: 46
I10-指数 : 73
出版物: 238
Package ‘howmany’
Nicolai Meinshausen , Maintainer Nicolai Meinshausen
2012
Consistent neighbourhood selection for sparse high-dimensional graphs with the Lasso
Nicolai Meinshausen , Peter Bühlmann
22
2004
Discoveries at risk
Nicolai Meinshausen , Peter Lukas Bühlmann
Research report / Seminar für Statistik, Eidgenössische Technische Hochschule (ETH) 116
2003
Quantile Regression Forests
Nicolai Meinshausen
Journal of Machine Learning Research 7 ( 35) 983 -999
1,630
2006
High-Dimensional Inference: Confidence Intervals, $p$-Values and R-Software hdi
Ruben Dezeure , Nicolai Meinshausen , Peter Bühlmann , Lukas Meier
arXiv: Methodology
264
2014
Random intersection trees
Nicolai Meinshausen , Rajen Dinesh Shah
Journal of Machine Learning Research 15 ( 1) 629 -654
26
2014
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
Nicolai Meinshausen , Jonas Peters , Dominik Rothenhäusler , Christina Heinze
neural information processing systems 28 1513 -1521
17
2015
Upper bounds for the number of true null hypotheses and novel estimates for error rates in multiple testing
Nicolai Meinshausen , Peter Lukas Bühlmann
Research-Report No 121 121
2
2004
Discussion of \Multiple Testing for Exploratory Research"
Nicolai Meinshausen
2
2011
Scalable Adaptive Stochastic Optimization Using Random Projections
Nicolai Meinshausen , Joachim M. Buhmann , Gabriel Krummenacher , Brian McWilliams
neural information processing systems 29 1750 -1758
12
2016
P-values for high-dimensional regression
Nicolai Meinshausen , Peter Bühlmann , Lukas Meier
arXiv: Methodology
406
2008
Causal Structure Learning
Nicolai Meinshausen , Marloes H. Maathuis , Christina Heinze-Deml
arXiv: Methodology
144
2017
The xyz algorithm for fast interaction search in high-dimensional data
Nicolai Meinshausen , Rajen Dinesh Shah , Gian-Andrea Thanei
Journal of Machine Learning Research 19 ( 37) 1 -42
12
2018
Causal discovery in heavy-tailed models
Nicolai Meinshausen , Jonas Peters , Sebastian Engelke , Nicola Gnecco
arXiv: Methodology
30
2019
Stability Selection
Nicolai Meinshausen , Peter Buehlmann
arXiv: Methodology
2,638
2008
Asymptotic optimality of the Westfall--Young permutation procedure for multiple testing under dependence
Nicolai Meinshausen , Peter Bühlmann , Marloes H. Maathuis
Annals of Statistics 39 ( 6) 3369 -3391
42
2011
Maximin effects in inhomogeneous large-scale data
Nicolai Meinshausen , Peter Bühlmann
Annals of Statistics 43 ( 4) 1801 -1830
29
2015
Spectral Deconfounding via Perturbed Sparse Linear Models
Nicolai Meinshausen , Peter Bühlmann , Domagoj Ćevid
Journal of Machine Learning Research 21 ( 232) 1 -41
20
2020
Fair Data Adaptation with Quantile Preservation
Nicolai Meinshausen , Drago Plečko
Journal of Machine Learning Research 21 ( 242) 1 -44
2020
The Raven's Hat: Fallen Pictures, Rising Sequences, and Other Mathematical Games
Nicolai Meinshausen , Jonas Peters
2021