Patrick O. Perry

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  • Fitting a deeply-nested hierarchical model to a large book review dataset using a moment-based estimator. With N. Zhang and K. Schmaus.
  • Political Style at Westminster The Changing Role of Seniority in Making Members of Parliament as Boring As Ever. With A. Spirling.
  • Scaling text with the class affinity model. With K. Benoit.
  • Estimating the number of clusters using cross-validation With W. Fu.
  • Is there a better way to rank business schools? With K. Reigert.
  • Fast moment-based estimation for hierarchical models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79(1):267-291.
    • R Package: mbest
    • Code to Reproduce Figures: mhlm-sources.tar.gz
  • Degrees of freedom for combining regression with factor analysis. With N. S. Pillai.
    • Code to Reproduce Figures: latentdf-sources.tar.gz
  • Consistent biclustering. With C. J. Flynn.
    • R Package (in development, not on CRAN): biclustpl
    • Code to Reproduce Figures: biclustpl-sources.tar.gz
  • Null models for network data. With P. J. Wolfe.
  • Point process modelling for directed interaction networks. With P. J. Wolfe. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 75(5):821-849, 2013.
    • Chosen for JRSS Journal Webinar on December 10, 2013 (Chaired by John Aston): Audio (MP3); Slides (PDF).
  • The singular value decomposition and high-dimensional data. With G. I. Allen. Encyclopedia of Environmetrics, second edition, A. H. El-Shaarawi and W. Piegorsch (eds.), John Wiley & Sons, Chichester, UK, 2469-2472, 2012.
  • Regularized Laplacian estimation and fast eigenvector approximation. With M. W. Mahoney. Advances in Neural Information Processing Systems, 24: 2420-2428, 2011.
  • Minimax rank estimation for subspace tracking. With P. J. Wolfe. IEEE Journal of Selected Topics in Signal Processing, 4(3):504-513, 2010.
  • A rotation test to verify latent structure. With A. B. Owen. Journal of Machine Learning Research, 11:603-624, 2010.
  • Cross-validation for unsupervised learning. PhD thesis, Stanford University. 2009.
  • Bi-cross-validation of the SVD and the non-negative matrix factorization. With A. B. Owen. Annals of Applied Statistics, 3(2):564-594, 2009.