1 citations · 1 across the 2 of their papers we have counts for
7 papers
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
Eray Erturk, Fahad Kamran, Salar Abbaspourazad +6
Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly used for such predictions, they have been…
Latent Temporal Flows for Multivariate Analysis of Wearables Data
Magda Amiridi, Gregory Darnell, Sean Jewell
Increased use of sensor signals from wearable devices as rich sources of physiological data has sparked growing interest in developing health monitoring systems to identify changes…
More powerful selective inference for the graph fused lasso
Yiqun T. Chen, Sean W. Jewell, Daniela M. Witten
The graph fused lasso -- which includes as a special case the one-dimensional fused lasso -- is widely used to reconstruct signals that are piecewise constant on a graph, meaning t…
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…
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…
Fast Nonconvex Deconvolution of Calcium Imaging Data
Sean Jewell, Toby Dylan Hocking, Paul Fearnhead +1
Calcium imaging data promises to transform the field of neuroscience by making it possible to record from large populations of neurons simultaneously. However, determining the exac…