5 citations · 6 across the 6 of their papers we have counts for
6 papers
A Riemannian Factor Model for Manifold-Valued Time Series
Shuo-Chieh Huang, Rong Chen, Yaqing Chen
We propose a Riemannian factor model (RFM), a novel framework for analyzing potentially high-dimensional time series data observed on Riemannian manifolds. Such time series are enc…
Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States
Paromita Dubey, Yaqing Chen, Álvaro Gajardo +5
Delay differential equations form the underpinning of many complex dynamical systems. The forward problem of solving random differential equations with delay has received increasin…
Uniform convergence of local Fréchet regression, with applications to locating extrema and time warping for metric space valued trajectories
Yaqing Chen, Hans-Georg Müller
Local Fréchet regression is a nonparametric regression method for metric space valued responses and Euclidean predictors, which can be utilized to obtain estimates of smooth trajec…
Wasserstein Regression
Yaqing Chen, Zhenhua Lin, Hans-Georg Müller
The analysis of samples of random objects that do not lie in a vector space is gaining increasing attention in statistics. An important class of such object data is univariate prob…
Rank Dynamics for Functional Data
Yaqing Chen, Matthew Dawson, Hans-Georg Müller
The study of the dynamic behavior of cross-sectional ranks over time for functional data and the ranks of the observed curves at each time point and their temporal evolution can yi…
Wasserstein Gradients for the Temporal Evolution of Probability Distributions
Yaqing Chen, Hans-Georg Müller
Many studies have been conducted on flows of probability measures, often in terms of gradient flows. We utilize a generalized notion of derivatives with respect to time to model th…