Rajen D. Shah
Rajen D. Shah
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Cited by
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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
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure.
RD Shah, J Peters
Annals of Statistics, 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, 2015
Random Intersection Trees
RD Shah, N Meinshausen
Journal of Machine Learning Research, 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
The xyz algorithm for fast interaction search in high-dimensional data
GA Thanei, N Meinshausen, RD Shah
arXiv preprint arXiv:1610.05108, 2016
Modelling interactions in high-dimensional data with backtracking
RD Shah
Microtome Publishing, 2016
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
Q Zhao, N Ju, S Bacallado, RD Shah
Goodness-of-fit testing in high-dimensional generalized linear models
J Janková, RD Shah, P Bühlmann, RJ Samworth
arXiv preprint arXiv:1908.03606, 2019
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
On b-bit min-wise hashing for large-scale regression and classification with sparse data
R Shah, N Meinshausen
Microtome Publishing, 2018
Modelling high-dimensional categorical data using nonconvex fusion penalties
BG Stokell, RD Shah, RJ Tibshirani
arXiv preprint arXiv:2002.12606, 2020
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
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
Conditional independence testing in Hilbert spaces with applications to functional data analysis
AR Lundborg, RD Shah, J Peters
arXiv preprint arXiv:2101.07108, 2021
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
The Projected Covariance Measure for assumption-lean variable significance testing
AR Lundborg, I Kim, RD Shah, RJ Samworth
arXiv preprint arXiv:2211.02039, 2022
A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis
JS Bødker, RF Brøndum, A Schmitz, AA Schönherz, DS Jespersen, ...
Blood Advances 2 (18), 2400-2411, 2018
Discussion of ‘Multiscale change point inference’by Frick, Munk and Sieling
Y Chen, R Shah, R Samworth
Journal of the Royal Statistical Society: Series B 76, 544-546, 2014
Double-estimation-friendly inference for high-dimensional misspecified models
RD Shah, P Bühlmann
Statistical Science 38 (1), 68-91, 2023
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