Publications and papers available for downloading
 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 multisample 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 largescale 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
logconcave 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 logconcave distributions

Automatic clustering of flow cytometry data with densitybased 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 logconcave 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 rmode 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 solarcycle 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