133 citations · 517 across the 19 of their papers we have counts for
8 papers · 1 filter
Confidence bands for a log-concave density
Guenther Walther, Alnur Ali, Xinyue Shen +1
We present a new approach for inference about a log-concave distribution: Instead of using the method of maximum likelihood, we propose to incorporate the log-concavity constraint…
Calibrating the scan statistic: finite sample performance vs. asymptotics
Guenther Walther, Andrew Perry
We consider the problem of detecting an elevated mean on an interval with unknown location and length in the univariate Gaussian sequence model. Recent results have shown that usin…
Large-scale inference with block structure
Jiyao Kou, Guenther Walther
The detection of weak and rare effects in large amounts of data arises in a number of modern data analysis problems. Known results show that in this situation the potential of stat…
The Essential Histogram
Housen Li, Axel Munk, Hannes Sieling +1
The histogram is widely used as a simple, exploratory display of data, but it is usually not clear how to choose the number and size of bins. We construct a confidence set of distr…
Optimal detection of multi-sample aligned sparse signals
Hock Peng Chan, Guenther Walther
We describe, in the detection of multi-sample aligned sparse signals, the critical boundary separating detectable from nondetectable signals, and construct tests that achieve optim…
Adaptive Concentration of Regression Trees, with Application to Random Forests
Stefan Wager, Guenther Walther
We study the convergence of the predictive surface of regression trees and forests. To support our analysis we introduce a notion of adaptive concentration for regression trees. Th…
Optimal and fast detection of spatial clusters with scan statistics
Guenther Walther
We consider the detection of multivariate spatial clusters in the Bernoulli model with locations, where the design distribution has weakly dependent marginals. The locations ar…
Forward stagewise regression and the monotone lasso
Trevor Hastie, Jonathan Taylor, Robert Tibshirani +1
We consider the least angle regression and forward stagewise algorithms for solving penalized least squares regression problems. In Efron, Hastie, Johnstone & Tibshirani (2004) it…