6 citations · 19 across the 9 of their papers we have counts for
9 papers · 1 filter
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…
Network Regression with Graph Laplacians
Yidong Zhou, Hans-Georg Müller
Network data are increasingly available in various research fields, motivating statistical analysis for populations of networks where a network as a whole is viewed as a data point…
Predictive Distributions and the Transition from Sparse to Dense Functional Data
Álvaro Gajardo, Xiongtao Dai, Hans-Georg Müller
A representation of Gaussian distributed sparsely sampled longitudinal data in terms of predictive distributions for their functional principal component scores (FPCs) maps availab…
Single Index Fréchet Regression
Satarupa Bhattacharjee, Hans-Georg Müller
Single index models provide an effective dimension reduction tool in regression, especially for high dimensional data, by projecting a general multivariate predictor onto a directi…
Conditional Wasserstein Barycenters and Interpolation/Extrapolation of Distributions
Jianing Fan, Hans-Georg Müller
Increasingly complex data analysis tasks motivate the study of the dependency of distributions of multivariate continuous random variables on scalar or vector predictors. Statistic…
Latent Deformation Models for Multivariate Functional Data and Time Warping Separability
Cody Carroll, Hans-Georg Müller
Multivariate functional data present theoretical and practical complications which are not found in univariate functional data. One of these is a situation where the component func…