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All issues ESAIM: PS, 18 (2014) 185-206 Article references

Articles citing this article

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Cited article:

High-dimensional Hilbert–Schmidt linear regression with Hilbert manifold variables

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The Annals of Statistics 53 (6) (2025)
https://doi.org/10.1214/25-AOS2559

Henrik Wiechers, Christopher J. Williams, Benjamin Eltzner, Franziska Hoppe, Michael G. Prisant, Vincent B. Chen, Ezra Miller, Kanti V. Mardia, Jane S. Richardson and Stephan F. Huckemann
(2025)
https://doi.org/10.1101/2025.02.06.636803

Consensus Group Decision Making Under Model Uncertainty with a View Towards Environmental Policy Making

P. Koundouri, G. I. Papayiannis, E. V. Petracou and A. N. Yannacopoulos
Environmental and Resource Economics 87 (6) 1611 (2024)
https://doi.org/10.1007/s10640-024-00846-1

Finite sample smeariness of Fréchet means with application to climate

Shayan Hundrieser, Benjamin Eltzner and Stephan Huckemann
Electronic Journal of Statistics 18 (2) (2024)
https://doi.org/10.1214/24-EJS2276

Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-2

Henrik Wiechers, Benjamin Eltzner, Kanti V Mardia and Stephan F Huckemann
Journal of the Royal Statistical Society Series C: Applied Statistics 72 (2) 271 (2023)
https://doi.org/10.1093/jrsssc/qlad004

A hyperbolic approach for learning communities on graphs

Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis and Olivier Schwander
Data Mining and Knowledge Discovery (2023)
https://doi.org/10.1007/s10618-022-00902-8

Principal component analysis and clustering on manifolds

Kanti V. Mardia, Henrik Wiechers, Benjamin Eltzner and Stephan F. Huckemann
Journal of Multivariate Analysis 188 104862 (2022)
https://doi.org/10.1016/j.jmva.2021.104862

A smeary central limit theorem for manifolds with application to high-dimensional spheres

Benjamin Eltzner and Stephan F. Huckemann
The Annals of Statistics 47 (6) (2019)
https://doi.org/10.1214/18-AOS1781

How to Calculate the Barycenter of a Weighted Graph

Sébastien Gadat, Ioana Gavra and Laurent Risser
Mathematics of Operations Research 43 (4) 1085 (2018)
https://doi.org/10.1287/moor.2017.0896

Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices

Salem Said, Hatem Hajri, Lionel Bombrun and Baba C. Vemuri
IEEE Transactions on Information Theory 64 (2) 752 (2018)
https://doi.org/10.1109/TIT.2017.2713829

A stochastic algorithm finding generalized means on compact manifolds

Marc Arnaudon and Laurent Miclo
Stochastic Processes and their Applications 124 (10) 3463 (2014)
https://doi.org/10.1016/j.spa.2014.05.011

Total Variation Regularization for Manifold-Valued Data

Andreas Weinmann, Laurent Demaret and Martin Storath
SIAM Journal on Imaging Sciences 7 (4) 2226 (2014)
https://doi.org/10.1137/130951075

Toward a Theory of Statistical Tree-Shape Analysis

A. Feragen, P. Lo, M. de Bruijne, M. Nielsen and F. Lauze
IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (8) 2008 (2013)
https://doi.org/10.1109/TPAMI.2012.265