Variable selection with error control: another look at stability selection RD Shah, RJ Samworth
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2013
402 2013 The Hardness of Conditional Independence Testing and the Generalised Covariance Measure. RD Shah, J Peters
Annals of Statistics, 2020
345 2020 Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis K Dybkær, M Bøgsted, S Falgreen, JS Bødker, MK Kjeldsen, A Schmitz, ...
Journal of Clinical Oncology 33 (12), 1379-1388, 2015
127 2015 Random Intersection Trees RD Shah, N Meinshausen
Journal of Machine Learning Research, 2014
72 2014 Goodness‐of‐fit tests for high dimensional linear models RD Shah, P Bühlmann
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018
58 2018 Goodness-of-fit testing in high dimensional generalized linear models J Janková, RD Shah, P Bühlmann, RJ Samworth
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020
43 2020 Functional unknomics: Systematic screening of conserved genes of unknown function SM João J. Rocha, Satish Arcot Jayaram, Tim J. Stevens, Nadine Muschalik ...
PLOS Biology 21 (8), 2023
34 2023 BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic Q Zhao, N Ju, S Bacallado, RD Shah
34 2021 The xyz algorithm for fast interaction search in high-dimensional data GA Thanei, N Meinshausen, RD Shah
arXiv preprint arXiv:1610.05108, 2016
33 2016 Modelling interactions in high-dimensional data with backtracking RD Shah
Journal of Machine Learning Research 17 (207), 1-31, 2016
32 2016 Conditional independence testing in Hilbert spaces with applications to functional data analysis AR Lundborg, RD Shah, J Peters
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
22 2022 Modelling high-dimensional categorical data using nonconvex fusion penalties BG Stokell, RD Shah, RJ Tibshirani
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021
22 2021 Right singular vector projection graphs: fast high dimensional covariance matrix estimation under latent confounding RD Shah, B Frot, GA Thanei, N Meinshausen
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020
20 * 2020 Debiased inverse propensity score weighting for estimation of average treatment effects with high-dimensional confounders Y Wang, RD Shah
arXiv preprint arXiv:2011.08661, 2020
18 2020 The Projected Covariance Measure for assumption-lean variable significance testing AR Lundborg, I Kim, RD Shah, RJ Samworth
arXiv preprint arXiv:2211.02039, 2022
16 2022 Rank-transformed subsampling: inference for multiple data splitting and exchangeable p -values FR Guo, RD Shah
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024
14 2024 On RD Shah, N Meinshausen
Journal of Machine Learning Research 18 (178), 1-42, 2018
12 * 2018 Structure learning for directed trees ME Jakobsen, RD Shah, P Bühlmann, J Peters
Journal of Machine Learning Research 23 (159), 1-97, 2022
11 2022 Multicentre study of physical abuse and limb fractures in young children in the East Anglia Region, UK PD Mitchell, R Brown, T Wang, RD Shah, RJ Samworth, S Deakin, P Edge, ...
Archives of disease in childhood 104 (10), 956-961, 2019
9 2019 Discussion of ‘Correlated variables in regression: clustering and sparse estimation’by Peter Bühlmann, Philipp Rütimann, Sara van de Geer and Cun-Hui Zhang RD Shah, RJ Samworth
Journal of Statistical Planning and Inference 143 (11), 1866-1868, 2013
9 2013 
Jonas PetersProfessor of Statistics, ETH ZurichBestätigte E-Mail-Adresse bei stat.math.ethz.ch
