168 citations · 521 across the 24 of their papers we have counts for
29 papers
Quantifying uncertainty in spikes estimated from calcium imaging data
Yiqun T. Chen, Sean W. Jewell, Daniela M. Witten
In recent years, a number of methods have been proposed to estimate the times at which a neuron spikes on the basis of calcium imaging data. However, quantifying the uncertainty as…
Selective Inference for Hierarchical Clustering
Lucy L. Gao, Jacob Bien, Daniela Witten
Classical tests for a difference in means control the type I error rate when the groups are defined a priori. However, when the groups are instead defined via clustering, then appl…
Exponential inequalities for dependent V-statistics via random Fourier features
Yandi Shen, Fang Han, Daniela Witten
We establish exponential inequalities for a class of V-statistics under strong mixing conditions. Our theory is developed via a novel kernel expansion based on random Fourier featu…
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…
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…
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…