I am University Lecturer (on leave) at the Department of Statistics at the University of Oxford and Fellow of Somerville College.

My research interests include:
Computational Statistics, High-dimensional Data, Regularization, Lasso-type Estimators, Sparsity, Machine Learning, Multiple Testing, Visualizations, Statistics for Astronomy and Climate Science.

Contact Information

Department of Statistics, University of Oxford
1 South Parks Road; Oxford OX1 3TG, UK
Email is my family name `at' stats.ox.ac.uk.
Phone: 01865 - 272593 and 01865- 270586 in Somerville

CV

an alternative

Working Papers

Most publications and working papers are on Google Scholar.

Daniel Rowlands, David Frame, Duncan Ackerley, Tolu Aina, Ben Booth, Carl Christensen, Matthew Collins, Nicholas Faull, Chris Forest, Benjamin Grandey, Edward Gryspeerdt, Eleanor Highwood, William Ingram, Sylvia Knight, Ana Lopez, Neil Massey, Frances McNamara, Nicolai Meinshausen, Claudio Piani, Suzanne Rosier, Benjamin Sanderson, Leonard Smith, Daith Stone, Milo Thurston, Kuniko Yamazaki, Hiro Yamazaki and Myles Allen
Uncertainty in 21st century warming constrained by recent climate observations
to appear in Nature Geoscience

Steffen Lauritzen and Nicolai Meinshausen
Discussion of "Latent Variable Graphical Model Selection Via Convex Optimization"
to appear in Annals of Statistics

Nicolai Meinshausen
Sign-constrained least squares estimation for high-dimensional regression
(PDF, abstract at arXiv:stat/1202.0889)

Nicolai Meinshausen
Discussion of "Multiple Testing for Exploratory Research"
to appear in Statistical Science
(PDF)

Nicolai Meinshausen and Marloes Maathuis and Peter Buehlmann
Optimality of the Westfall-Young permutation procedure for multiple testing under dependence
to appear in Annals of Statistics
(PDF, abstract at arXiv:stat/1106.2068)

Zhou Fang and Nicolai Meinshausen
Liso Isotone for High-Dimensional Additive Isotonic Regression
to appear in JCGS
(PDF, abstract at arXiv:stat/1006.2940)

Published Papers

Nicolai Meinshausen (2011)
Partition Maps
JCGS 20(4), 1007-1028
(PDF, R package)

Nicolai Meinshausen (2010)
Node Harvest
Annals of Applied Statistics 4(4), 2049-2072
(PDF, abstract at arXiv:stat/0910.2145, R package)

Nicolai Meinshausen and Peter Buehlmann (2010)
Stability Selection (with discussion)
Journal of the Royal Statistical Society, Series B 72, 417-473
(PDF, abstract at arXiv:stat/0809.2932)

Nicolai Meinshausen, Lukas Meier and Peter Buehlmann (2009)
P-values for high-dimensional regression
Journal of the American Statistical Association 104, 1671-1681
(PDF, abstract at arXiv:stat/0811.2177)

Nicolai Meinshausen (2009)
Forest Garrote
Electronic Journal of Statistics 3, 1288-1304
(PDF, abstract at arXiv:stat/0906.3590)

Myles Allen, David Frame, Chris Huntingford, Chris Jones, Jason Lowe, Malte Meinshausen and Nicolai Meinshausen (2009)
Warming caused by cumulative carbon emissions towards the trillionth tonne
Nature 458, 1163-1166

Malte Meinshausen, Nicolai Meinshausen, William Hare, Sarah Raper, Katja Frieler, Reto Knutti, David Frame and Myles Allen (2009)
Greenhouse-gas emission targets for limiting global warming to 2 C
Nature 458, 1158-1162
(Nature Editorial, News & Views)

Nicolai Meinshausen, Peter Bickel and John Rice (2009)
Efficient Blind Search: Optimal Power of Detection under Computational Cost Constraints
Annals of Applied Statistics 3(1), 38-60
(PDF, abstract at arxiv:stat/0712.1663)

Nicolai Meinshausen and Bin Yu (2009)
Lasso-type recovery of sparse representations for high-dimensional data
Annals of Statistics 37(1), 246-270
(PDF, abstract at arxiv:stat/0806.0145)

Nicolai Meinshausen and Peter Buehlmann (2008)
Discussion of: Treelets -- An Adaptive Multi-Scale Basis for Sparse Unordered Data
Annals of Applied Statistics 2(2), 478-481
(PDF, abstract at arxiv:stat/0807.4018)

Nicolai Meinshausen (2008)
Hierarchical testing of variable importance
Biometrika 95(2), 265-278
(PDF)

Nicolai Meinshausen (2008)
A Note on the Lasso for Graphical Gaussian Model Selection
Statistics & Probability Letters 78(7), 880-884
(PDF)

Nicolai Meinshausen, Guilherme Rocha and Bin Yu (2007)
Discussion: A tale of three cousins: Lasso, L2Boosting and Dantzig
Annals of Statistics 35(6), 2373-2384
(PDF, abstract at arxiv:stat/0803.3134)

Nicolai Meinshausen (2007)
Relaxed Lasso
Computational Statistics and Data Analysis 52(1), 374-393
(PDF, software: R-package)

Nicolai Meinshausen (2006)
Quantile Regression Forests
Journal of Machine Learning Research 7, 983-999
(PDF, software: R-package)

Nicolai Meinshausen and Peter Buehlmann (2006)
High dimensional graphs and variable selection with the Lasso
Annals of Statistics 34(3), 1436-1462
An interview in Essential Science Indicators in January 2008.
(PDF, abstract at arxiv:math/0608017).

Nicolai Meinshausen (2006)
False discovery control for multiple tests of association under general dependence
Scandinavian Journal of Statistics 33(2), 227-237
(PDF, software: R-package)

Nicolai Meinshausen and John Rice (2006)
Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses
Annals of Statistics 34(1), 373-393
(PDF, abstract at arxiv:math/0501289, software: R-package)

Weng-Ping Chen, Charles Alcock, Tim Axelrod, Federica Bianco, Yong-Ik Byun, Hsiang-Kuang Chang, Kem Cook, Rahul Dave, Joseph Giammarco, D. Kim, Sun-Kung King, Typhoon Lee, Matthew Lehner, Chun-Che Lin, Lupin Lin, Jack Lissauer, Stuart Marshall, Nicolai Meinshausen, Soumen Mondal, Imke De Pater, Rodin Porrata, John Rice, Megan Schwamb, Andrew Wang, Shiang-Yu Wang, Chih-Yi Wen and Zhi-Wei Zhang (2006)
Search for small trans-Neptunian objects by the TAOS project
Proceedings of the International Astronomical Union 2, 65-68
Cambridge University Press
(abstract at arxiv:astro-ph/0611527)

Nicolai Meinshausen and Peter Buehlmann (2005)
Lower bounds for the number of false null hypotheses for multiple testing of associations
Biometrika 92(4), 893-907
(preprint: PDF, PDF, software: R-package)

Nicolai Meinshausen and Ben Hambly (2004)
Monte carlo methods for the valuation of multiple exercise options
Mathematical Finance 14(4) 557-583
(PDF)