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
Testing for monotonicity in the Hubble diagram
Nicolai Meinshausen , John Rice , Thomas Schücker
arXiv: Astrophysics
1
2006
Minimum Distance Estimation for Robust High-Dimensional Regression
Nicolai Meinshausen , Aurélie C. Lozano
arXiv: Methodology
3
2013
Discussion: Latent variable graphical model selection via convex optimization
Nicolai Meinshausen , Steffen Lauritzen
arXiv: Statistics Theory
2012
Causal inference using invariant prediction: identification and confidence intervals
Nicolai Meinshausen , Peter Bühlmann , Jonas Peters
arXiv: Methodology
6
2015
Sign-constrained least squares estimation for high-dimensional regression
Nicolai Meinshausen
arXiv: Methodology
1
2012
Efficient blind search: Optimal power of detection under computational cost constraints
Nicolai Meinshausen , Peter Bickel , John Rice
arXiv: Methodology
1
2007
DISCUSSION OF: TREELETS—AN ADAPTIVE MULTI-SCALE BASIS FOR SPARSE UNORDERED DATA
Nicolai Meinshausen , Peter Bühlmann
The Annals of Applied Statistics 2 ( 2) 474 -477
3
2008
Discussion: A tale of three cousins: Lasso, L2Boosting and Dantzig
N. Meinshausen , B. Yu , G. Rocha
arXiv: Statistics Theory
6
2008
Lasso-type recovery of sparse representations for high-dimensional data
Nicolai Meinshausen , Bin Yu
arXiv: Statistics Theory
36
2008
Optimality of the Westfall-Young permutation procedure for multiple testing under dependence
Nicolai Meinshausen , Marloes Maathuis
1
2011
Min-wise hashing for large-scale regression and classication with sparse data
Nicolai Meinshausen , Rajen D. Shah
arXiv: Statistics Theory
5
2013
Monte Carlo Methods for the Valuation of Multiple-Exercise Options
Nicolai Meinshausen , Ben M. Hambly
Social Science Research Network
18
2004
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
Nicolai Meinshausen , Brian McWilliams , Christina Heinze
arXiv: Machine Learning
4
2015
On b-bit min-wise hashing for large-scale regression and classification with sparse data
Nicolai Meinshausen , Rajen D. Shah
arXiv: Statistics Theory
1
2013
LOCO: Distributing Ridge Regression with Random Projections
Nicolai Meinshausen , Gabriel Krummenacher , Brian McWilliams , Christina Heinze
arXiv: Machine Learning
23
2014
The xyz algorithm for fast interaction search in high-dimensional data
Nicolai Meinshausen , Rajen D. Shah , Gian-Andrea Thanei
arXiv: Machine Learning
1
2016
DUAL-LOCO: Preserving privacy between features in distributed estimation
Nicolai Meinshausen , Brian McWilliams , Christina Heinze
international conference on artificial intelligence and statistics 51 875 -883
1
2016
Preserving Differential Privacy Between Features in Distributed Estimation
Nicolai Meinshausen , Brian McWilliams , Christina Heinze-Deml
arXiv: Machine Learning
4
2017
Causal Dantzig: fast inference in linear structural equation models with hidden variables under additive interventions
Nicolai Meinshausen , Peter Bühlmann , Dominik Rothenhäusler
arXiv: Methodology
2017
Invariant Causal Prediction for Nonlinear Models
Nicolai Meinshausen , Jonas Peters , Christina Heinze-Deml
arXiv: Methodology
3
2017