866 citations · 1.2k across the 41 of their papers we have counts for
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stat.ME2018★ 13 cited
Sparsely Observed Functional Time Series: Estimation and Prediction
Tomáš Rubín, Victor M. Panaretos
Functional time series analysis, whether based on time of frequency domain methodology, has traditionally been carried out under the assumption of complete observation of the const…
stat.ME2018★ 866 cited
Statistical Aspects of Wasserstein Distances
Victor M. Panaretos, Yoav Zemel
Wasserstein distances are metrics on probability distributions inspired by the problem of optimal mass transportation. Roughly speaking, they measure the minimal effort required to…
stat.ME2018
Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes
Valentina Masarotto, Victor M. Panaretos, Yoav Zemel
Covariance operators are fundamental in functional data analysis, providing the canonical means to analyse functional variation via the celebrated Karhunen--Loève expansion. These…