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Modeling sparse longitudinal data on Riemannian manifolds

Biometrics, 2021-12, Vol.77 (4), p.1328-1341

2021

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Functional models for time‐varying random objects

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2020-04, Vol.82 (2), p.275-327

2020

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Wasserstein Regression

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.869-882

2023

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Functional Data Analysis

Annual review of statistics and its application, 2016-06, Vol.3 (1), p.257-295

2016

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Latent deformation models for multivariate functional data and time‐warping separability

Biometrics, 2023-12, Vol.79 (4), p.3345-3358

2023

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The dynamics of ideology drift among U.S. Supreme Court justices: A functional data analysis

PloS one, 2022-07, Vol.17 (7), p.e0269598-e0269598

2022

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Spherical autoregressive models, with application to distributional and compositional time series

Journal of econometrics, 2024-02, Vol.239 (2), p.105389, Article 105389

2024

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Cross‐component registration for multivariate functional data, with application to growth curves

Biometrics, 2021-09, Vol.77 (3), p.839-851

2021

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Modelling function-valued stochastic processes, with applications to fertility dynamics

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-01, Vol.79 (1), p.177-196

2017

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Trajectories of brain volumes in young children are associated with maternal education

Human brain mapping, 2023-06, Vol.44 (8), p.3168-3179

2023

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Modeling Time-Varying Random Objects and Dynamic Networks

Journal of the American Statistical Association, 2022-10, Vol.117 (540), p.2252-2267

2022

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Metric statistics: Exploration and inference for random objects with distance profiles

The Annals of statistics, 2024-04, Vol.52 (2), p.757

2024

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Errata to “Functional models for time‐varying random objects”

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2021-09, Vol.83 (4), p.883-883

2021

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Total variation regularized Fréchet regression for metric-space valued data

The Annals of statistics, 2021-12, Vol.49 (6), p.3510

2021

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Longitudinal associations between white matter maturation and cognitive development across early childhood

Human brain mapping, 2019-10, Vol.40 (14), p.4130-4145

2019

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Single index Fréchet regression

The Annals of statistics, 2023-08, Vol.51 (4), p.1770

2023

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PETER HALL, FUNCTIONAL DATA ANALYSIS AND RANDOM OBJECTS

The Annals of statistics, 2016-10, Vol.44 (5), p.1867-1887

Müller, Hans-Georg

2016

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BOOTSTRAPPING MAX STATISTICS IN HIGH DIMENSIONS: NEAR-PARAMETRIC RATES UNDER WEAK VARIANCE DECAY AND APPLICATION TO FUNCTIONAL AND MULTINOMIAL DATA

The Annals of statistics, 2020-04, Vol.48 (2), p.1214-1229

2020

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Additive Functional Regression for Densities as Responses

Journal of the American Statistical Association, 2020-04, Vol.115 (530), p.997-1010

2020

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Sustainable Management: Coping with the Dilemmas of Resource-Oriented Management

Müller-Christ, Georg

Second edition, 2023

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Variable Selection for Global Fréchet Regression

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.1023-1037

2023

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Uniform convergence of local Fréchet regression with applications to locating extrema and time warping for metric space valued trajectories

The Annals of statistics, 2022-06, Vol.50 (3), p.1573

2022

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Conditional distribution regression for functional responses

Scandinavian journal of statistics, 2022-06, Vol.49 (2), p.502-524

2022

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Modeling sparse longitudinal data in early neurodevelopment

NeuroImage (Orlando, Fla.), 2021-08, Vol.237, p.118079-118079, Article 118079

2021

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High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.177-191

2023

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Modeling sparse longitudinal data on Riemannian manifolds

Functional models for time‐varying random objects

Wasserstein Regression

Functional Data Analysis

Latent deformation models for multivariate functional data and time‐warping separability

The dynamics of ideology drift among U.S. Supreme Court justices: A functional data analysis

Spherical autoregressive models, with application to distributional and compositional time series

Cross‐component registration for multivariate functional data, with application to growth curves

Modelling function-valued stochastic processes, with applications to fertility dynamics

Trajectories of brain volumes in young children are associated with maternal education

Modeling Time-Varying Random Objects and Dynamic Networks

Metric statistics: Exploration and inference for random objects with distance profiles

Errata to “Functional models for time‐varying random objects”

Total variation regularized Fréchet regression for metric-space valued data

Longitudinal associations between white matter maturation and cognitive development across early childhood

Single index Fréchet regression

PETER HALL, FUNCTIONAL DATA ANALYSIS AND RANDOM OBJECTS

BOOTSTRAPPING MAX STATISTICS IN HIGH DIMENSIONS: NEAR-PARAMETRIC RATES UNDER WEAK VARIANCE DECAY AND APPLICATION TO FUNCTIONAL AND MULTINOMIAL DATA

Additive Functional Regression for Densities as Responses

Sustainable Management: Coping with the Dilemmas of Resource-Oriented Management

Variable Selection for Global Fréchet Regression

Uniform convergence of local Fréchet regression with applications to locating extrema and time warping for metric space valued trajectories

Conditional distribution regression for functional responses

Modeling sparse longitudinal data in early neurodevelopment

High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data

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