Linear Manifold Modeling and Graph Estimation based on Multivariate Functional Data with Different Coarseness Scales (Unknown)
- New search for: Pircalabelu, Eugen
- New search for: Claeskens, Gerda
- New search for: Pircalabelu, Eugen
- New search for: Claeskens, Gerda
In:
Journal of Computational and Graphical Statistics
;
32
, 2
;
378-387
;
2023
- Article (Journal) / Electronic Resource
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Title:Linear Manifold Modeling and Graph Estimation based on Multivariate Functional Data with Different Coarseness Scales
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Contributors:Pircalabelu, Eugen ( author ) / Claeskens, Gerda ( author )
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Published in:Journal of Computational and Graphical Statistics ; 32, 2 ; 378-387
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Publisher:
- New search for: Taylor & Francis
-
Publication date:2023-04-03
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Size:10 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:Unknown
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Keywords:
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Source:
Table of contents – Volume 32, Issue 2
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 341
-
Integrated Depths for Partially Observed Functional DataElías, Antonio / Jiménez, Raúl / Paganoni, Anna M. / Sangalli, Laura M. et al. | 2023
- 353
-
Ultra-Fast Approximate Inference Using Variational Functional Mixed ModelsHuo, Shuning / Morris, Jeffrey S. / Zhu, Hongxiao et al. | 2023
- 366
-
Fast Multilevel Functional Principal Component AnalysisCui, Erjia / Li, Ruonan / Crainiceanu, Ciprian M. / Xiao, Luo et al. | 2023
- 378
-
Linear Manifold Modeling and Graph Estimation based on Multivariate Functional Data with Different Coarseness ScalesPircalabelu, Eugen / Claeskens, Gerda et al. | 2023
- 388
-
Practical Network Modeling via Tapered Exponential-Family Random Graph ModelsBlackburn, Bart / Handcock, Mark S. et al. | 2023
- 402
-
Joint Modeling of Longitudinal Imaging and Survival DataKang, Kai / Song, Xin Yuan et al. | 2023
- 413
-
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and InferenceMejia, Amanda F. / Bolin, David / Yue, Yu Ryan / Wang, Jiongran / Caffo, Brian S. / Nebel, Mary Beth et al. | 2023
- 434
-
Triangular Concordance Learning of NetworksGu, Jiaqi / Yin, Guosheng et al. | 2023
- 448
-
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown ParametersDong, Tianning / Zhang, Peiyi / Liang, Faming et al. | 2023
- 470
-
A Bayesian Singular Value Decomposition Procedure for Missing Data ImputationZhai, Ruoshui / Gutman, Roee et al. | 2023
- 483
-
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian InferencePiancastelli, Luiza S. C. / Friel, Nial / Barreto-Souza, Wagner / Ombao, Hernando et al. | 2023
- 501
-
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMsRoy, Vivekananda / Zhang, Lijin et al. | 2023
- 513
-
Pseudo-Marginal Inference for CTMCs on Infinite Spaces via Monotonic Likelihood ApproximationsBiron-Lattes, Miguel / Bouchard-Côté, Alexandre / Campbell, Trevor et al. | 2023
- 528
-
Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational StudiesChen, Kan / Heng, Siyu / Long, Qi / Zhang, Bo et al. | 2023
- 539
-
A Simple Algorithm for Exact Multinomial TestsResin, Johannes et al. | 2023
- 551
-
Comparing Two Samples Through Stochastic Dominance: A Graphical ApproachArza, Etor / Ceberio, Josu / Irurozki, Ekhiñe / Pérez, Aritz et al. | 2023
- 567
-
A General Method for Deriving Tight Symbolic Bounds on Causal EffectsSachs, Michael C. / Jonzon, Gustav / Sjölander, Arvid / Gabriel, Erin E. et al. | 2023
- 577
-
More Powerful Selective Inference for the Graph Fused LassoChen, Yiqun / Jewell, Sean / Witten, Daniela et al. | 2023
- 588
-
Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional DataYu, Weichang / Wade, Sara / Bondell, Howard D. / Azizi, Lamiae et al. | 2023
- 601
-
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High DimensionsBoileau, Philippe / Hejazi, Nima S. / van der Laan, Mark J. / Dudoit, Sandrine et al. | 2023
- 613
-
Predictive Subdata Selection for Computer ModelsChang, Ming-Chung et al. | 2023
- 631
-
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based OptimizationSchalk, Daniel / Bischl, Bernd / Rügamer, David et al. | 2023
- 642
-
Copulas and Histogram-Valued DataJin, Honghe / Billard, Lynne et al. | 2023
- 658
-
Statistical Analysis of Locally Parameterized ShapesTaheri, Mohsen / Schulz, Jörn et al. | 2023
- 671
-
Persistence Flamelets: Topological Invariants for Scale SpacesPadellini, Tullia / Brutti, Pierpaolo et al. | 2023
- 684
-
Micro–Macro Changepoint Inference for Periodic Data SequencesUshakova, Anastasia / Taylor, Simon A. / Killick, Rebecca et al. | 2023
- 696
-
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural BreaksOtto, Philipp / Steinert, Rick et al. | 2023
- 712
-
Efficient Optimization of Partition Scan Statistics via the Consecutive Partitions PropertyPehlivanian, Charles A. / Neill, Daniel B. et al. | 2023
- 730
-
Multiway Sparse Distance Weighted DiscriminationGuo, Bin / Eberly, Lynn E. / Henry, Pierre-Gilles / Lenglet, Christophe / Lock, Eric F. et al. | 2023
- 744
-
Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple ObjectivesWong, Weng Kee / Zhou, Julie et al. | 2023
- 754
-
Design Principles for Data AnalysisMcGowan, Lucy D’Agostino / Peng, Roger D. / Hicks, Stephanie C. et al. | 2023