3 papers
cs.LG2021
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks
Mohammadreza Armandpour, Brian Kidd, Yu Du +1
In this paper, we study the problem of blood glucose forecasting and provide a deep personalized solution. Predicting blood glucose level in people with diabetes has significant va…
stat.ME2020
Bayesian nonstationary and nonparametric covariance estimation for large spatial data
Brian Kidd, Matthias Katzfuss
In spatial statistics, it is often assumed that the spatial field of interest is stationary and its covariance has a simple parametric form, but these assumptions are not appropria…
math.PR2017
Upper and Lower Bounds on the Speed of a One Dimensional Excited Random Walk
Erin Bossen, Brian Kidd, Owen Levin +3
Excited random walks (ERWs) are a self-interacting non-Markovian random walk in which the future behavior of the walk is influenced by the number of times the walk has previously v…