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Rajen D. Shah
Rajen D. Shah
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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
4082013
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure.
RD Shah, J Peters
Annals of Statistics, 2020
3702020
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
1292015
Random Intersection Trees
RD Shah, N Meinshausen
Journal of Machine Learning Research, 2014
742014
Goodness‐of‐fit tests for high dimensional linear models
RD Shah, P Bühlmann
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018
612018
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
492020
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
452023
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
Q Zhao, N Ju, S Bacallado, RD Shah
352021
The xyz algorithm for fast interaction search in high-dimensional data
GA Thanei, N Meinshausen, RD Shah
arXiv preprint arXiv:1610.05108, 2016
352016
Modelling interactions in high-dimensional data with backtracking
RD Shah
Journal of Machine Learning Research 17 (207), 1-31, 2016
342016
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
262022
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
242021
The projected covariance measure for assumption-lean variable significance testing
AR Lundborg, I Kim, RD Shah, RJ Samworth
The Annals of Statistics 52 (6), 2851-2878, 2024
222024
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
22*2020
Debiased inverse propensity score weighting for estimation of average treatment effects with high-dimensional confounders
Y Wang, RD Shah
The Annals of Statistics 52 (5), 1978-2003, 2024
20*2024
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
FR Guo, RD Shah
arXiv preprint arXiv:2301.02739, 2023
162023
On -bit Min-wise Hashing for Large-scale Regression and Classification with Sparse Data
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
112022
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
112019
Double-estimation-friendly inference for high-dimensional misspecified models
RD Shah, P Bühlmann
Statistical Science 38 (1), 68-91, 2023
92023
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Artikler 1–20