Selected publications and papers available for downloading

• Fast and optimal changepoint detection and localization using Bonferroni triplets
      with J. Jang
• Beta-trees: Multivariate histograms with confidence statements
      with Q. Zhao
• Calibrating the scan statistic: finite sample performance vs. asymptotics
      with A. Perry
• Tail bounds for empirically standardized sums
  
• Confidence bands for a log-concave density
      with A. Ali, X. Shen, S. Boyd
• Large-scale inference with block structure
      with J. Kou
• Calibrating the scan statistic with size-dependent critical values: heuristics, methodology and computation
  
• Automated subset identification and characterization pipeline for multidimensional flow and mass cytometry data clustering and visualization
      with S. Meehan, G. Kolyagin, D. Parks, Justin Youngyunpipatkul, L. Herzenberg, E. Ghosn, D. Orlova
• QFMatch: multidimensional flow and mass cytometry samples alignment
      with D. Orlova, S. Meehan, D. Parks, W. Moore, C. Meehan, Q. Zhao, E. Ghosn, L. Herzenberg
• Science not art: statistically sound methods for identifying subsets in multi-dimensional flow and mass cytometry data sets
      with D. Orlova and L. Herzenberg
• The essential histogram
      with H. Li, A. Munk, H. Sieling
• Uniform convergence of random forests via adaptive concentration
      with S. Wager
• Earth Mover's Distance (EMD): a true metric for comparing biomarker expression levels in cell populations
      with D. Orlova, N. Zimmerman, L.A. Herzenberg et al.
• Peer assessment enhances student learning
      with D.L. Sun, N. Harris and M. Baiocchi
• Optimal detection of multi-sample aligned sparse signals
      with Hock Peng Chan
• Autogate: automating analysis of flow cytometry data
      with S. Meehan, W. Moore, D. Orlova, L.A. Herzenberg et al.
• Discussion of `Multiscale change point inference' by K. Frick, A. Munk and H. Sieling
• AutoGate, an automated approach to flow data analysis (in Japanese) (English version)
      with L.A. Herzenberg, D. Parks, W. Moore, C. Meehan, M. Phillips, E. Ghosn, L. Herzenberg
• Optimal detection of a jump in the intensity of a Poisson process or in a density with likelihood ratio statistics
      with Camilo Rivera
• The average likelihood ratio for large-scale multiple testing and detecting sparse mixtures
• History of Stanford's Department of Statistics
      with Ingram Olkin
• Detection with the scan and the average likelihood ratio
      with Hock Peng Chan
• Investigating modality of multivariate data with principal curves
      with Murat Ahmed
• Discussion of `Maximum likelihood estimation of a multidimensional log-concave density' by M. Cule and R. Samworth
• Correlation analysis for proportions via updating and resampling
      with Gianna Monti
• Optimal and fast detection of spatial clusters with scan statistics
• The block criterion for multiscale inference about a density, with applications to other multiscale problems
      with Kaspar Rufibach
    Supplement
• Inference and modeling with log-concave distributions
• Automatic clustering of flow cytometry data with density-based merging
      with Noah Zimmerman, Wayne Moore, David Parks, Stephan Meehan, Ilana Belitskaya, Jinhui Pan, and Leonore Herzenberg
• Multiscale inference about a density
      with Lutz Dümbgen
• Clustering with mixtures of log-concave distributions
      with George Chang
• Advances in mixture models
      with Dankmar Böhning, Wilfried Seidel, Marco Alfó, Bernard Garel, and Valentin Patilea
• Forward stagewise regression and the monotone lasso
      with Trevor Hastie, Jonathan Taylor, and Rob Tibshirani
• Constrained ordination analysis with flexible response functions
      with Mu Zhu and Trevor Hastie
• Combined and comparative analysis of power spectra
      with Peter Sturrock, Jeff Scargle, and Mike Wheatland
• Cluster validation by prediction strength
      with Rob Tibshirani
• Bikernel mixture analysis
• Detecting the presence of mixing with multiscale maximum likelihood
• Estimating the number of clusters in a dataset via the Gap statistic
      with Trevor Hastie and Rob Tibshirani
• Multiscale maximum likelihood analysis of a semiparametric model, with applications
• Rotational signature and possible r-mode signature in the GALLEX solar neutrino data
      with Peter Sturrock, Jeff Scargle, and Mike Wheatland
• Reply to Comment on `Absence of correlation between the solar neutrino flux and the sunspot number
• On the solar-cycle modulation of the Homestake solar neutrino capture rate and the shuffle test
• On a generalization of Blaschke's Rolling Theorem and the smoothing of surfaces
• Apparent latitudinal modulation of the solar neutrino flux
      with Peter Sturrock and Mike Wheatland
• Absence of correlation between the solar neutrino flux and the sunspot number
• Granulometric smoothing
• Search for periodicities in the Homestake solar neutrino data
      with Peter Sturrock and Mike Wheatland
• On a conjecture concerning a theorem of Cramér and Wold
• Monte Carlo sampling in dual space for approximating the empirical halfspace distance
• Rates of convergence for random approximations of convex sets
      with Lutz Dümbgen