Linear Manifold Modeling and Graph Estimation based on Multivariate Functional Data with Different Coarseness Scales-Reference-Cited by-同舟云学术

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Linear Manifold Modeling and Graph Estimation based on Multivariate Functional Data with Different Coarseness Scales

Published:2022-10-11 Issue: Volume: Page:1-10
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Pircalabelu Eugen¹,Claeskens Gerda²

Affiliation:

1. Institute of Statistics, Biostatistics and Actuarial Sciences, LIDAM, UCLouvain, Louvain-la-Neuve, Belgium

2. ORSTAT and Leuven Statistics Research Center, KU Leuven, Leuven, Belgium

Funder

(CISM/UCL) and the Consortium des Équipements de Calcul Intensif en Fédération Wallonie Bruxelles

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2108818

Reference32 articles.

1. Multi-level bootstrap analysis of stable clusters in resting-state fMRI

2. Regularized estimation of large covariance matrices

3. Optimal rates of convergence for covariance matrix estimation

4. Linear manifold modelling of multivariate functional data

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