
Professor of Statistics and Director of Statistical Laboratory
Research Interests: Nonparametric and high-dimensional statistics
Publications
Local nearest neighbour classification with applications to semi-supervised learning
          – The Annals of Statistics  
  
          (2020)  
  
          48,   
  
          1789  
  
          (doi: 10.1214/19-aos1868)  
  
  Classification with imperfect training labels
          – Biometrika  
  
          (2020)  
  
          107,   
  
          311  
  
          (doi: 10.1093/biomet/asaa011)  
  
  Goodness-of-fit testing in high dimensional generalized linear models
          – Journal of the Royal Statistical Society Series B Statistical Methodology  
  
          (2020)  
  
          82,   
  
          773  
  
          (doi: 10.1111/rssb.12371)  
  
  Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission
          – Elife  
  
          (2020)  
  
          9,   
  
          e58728  
  
          (doi: 10.7554/elife.58728)  
  
  Sparse Principal Component Analysis via Axis-Aligned Random Projections
          – Journal of the Royal Statistical Society Series B Statistical Methodology  
  
          (2020)  
  
          82,   
  
          329  
  
          (doi: 10.1111/rssb.12360)  
  
  The conditional permutation test for independence while controlling for confounders
          – Journal of the Royal Statistical Society Series B: Statistical Methodology  
  
          (2019)  
  
          82,   
  
          175  
  
          (doi: 10.1111/rssb.12340)  
  
  Isotonic regression in general dimensions
          – The Annals of Statistics  
  
          (2019)  
  
          47,   
  
          2440  
  
          (doi: 10.1214/18-aos1753)  
  
  High-dimensional principal component analysis with heterogeneous
  missingness
          (2019)  
  
  Nonparametric independence testing via mutual information
          – Biometrika  
  
          (2019)  
  
          106,   
  
          547  
  
          (doi: 10.1093/biomet/asz024)  
  
  Challenges in comparing physical abuse, fractures and metabolic bone disease in young children in the UK and Sweden
          – Archives of Disease in Childhood  
  
          (2019)  
  
          104,   
  
          1122  
  
    
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