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20082021
most citedClassification and clustering of sequencing data using a Poisson model

168 citations · 521 across the 24 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

stat.ME2019★ 5 cited

Testing for a Change in Mean After Changepoint Detection

Sean Jewell, Paul Fearnhead, Daniela Witten

While many methods are available to detect structural changes in a time series, few procedures are available to quantify the uncertainty of these estimates post-detection. In this…

stat.ME2019★ 6 cited

Controlling Costs: Feature Selection on a Budget

Guo Yu, Daniela Witten, Jacob Bien

The traditional framework for feature selection treats all features as costing the same amount. However, in reality, a scientist often has considerable discretion regarding which v…

stat.ME2019

Testing for Association in Multi-View Network Data

Lucy L. Gao, Daniela Witten, Jacob Bien

In this paper, we consider data consisting of multiple networks, each comprised of a different edge set on a common set of nodes. Many models have been proposed for the analysis of…

stat.ME2019

Modeling microbial abundances and dysbiosis with beta-binomial regression

Bryan D. Martin, Daniela Witten, Amy D. Willis

Using a sample from a population to estimate the proportion of the population with a certain category label is a broadly important problem. In the context of microbiome studies, th…

math.ST2019★ 2 cited

Tail behavior of dependent V-statistics and its applications

Yandi Shen, Fang Han, Daniela Witten

We establish exponential inequalities and Cramer-type moderate deviation theorems for a class of V-statistics under strong mixing conditions. Our theory is developed via kernel exp…

math.ST2019★ 4 cited

Optimal estimation of variance in nonparametric regression with random design

Yandi Shen, Chao Gao, Daniela Witten +1

Consider the heteroscedastic nonparametric regression model with random design \begin{align*} Y_i = f(X_i) + V^{1/2}(X_i)\varepsilon_i, \quad i=1,2,\ldots,n, \end{align*} with $f(\…