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09/20/2023
Principal component analysis in Bayes spaces for sparsely sampled density functions
This paper presents a novel approach to functional principal component a...
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05/03/2023
Elastic regression for irregularly sampled curves in ℝ^d
We propose regression models for curve-valued responses in two or more d...
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05/26/2022
Classification ensembles for multivariate functional data with application to mouse movements in web surveys
We propose new ensemble models for multivariate functional data classifi...
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03/20/2022
Elastic Full Procrustes Analysis of Plane Curves via Hermitian Covariance Smoothing
Determining the mean shape of a collection of curves is not a trivial ta...
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01/20/2022
Generalised functional additive mixed models with compositional covariates for areal Covid-19 incidence curves
We extend the generalised functional additive mixed model to include (fu...
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12/14/2021
Navigating the corporate disclosure gap: Modelling of Missing Not at Random Carbon Data
Corporate carbon emissions data is disclosed by approximately 65 and mid...
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10/22/2021
Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics
Motivated by research on gender identity norms and the distribution of t...
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09/06/2021
Functional additive regression on shape and form manifolds of planar curves
Defining shape and form as equivalence classes under translation, rotati...
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04/22/2021
Elastic analysis of irregularly or sparsely sampled curves
We provide statistical analysis methods for samples of curves when the i...
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03/11/2021
Multivariate Functional Additive Mixed Models
Multivariate functional data can be intrinsically multivariate like move...
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02/18/2021
Adaptive Step-Length Selection in Gradient Boosting for Generalized Additive Models for Location, Scale and Shape
Tuning of model-based boosting algorithms relies mainly on the number of...
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11/05/2020
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features
A central goal of survey research is to collect robust and reliable data...
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07/15/2020
Selective Inference for Additive and Linear Mixed Models
This work addresses the problem of conducting valid inference for additi...
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10/31/2018
A General Framework for Multivariate Functional Principal Component Analysis of Amplitude and Phase Variation
Functional data typically contains amplitude and phase variation. In man...
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09/26/2018
Boosting Functional Response Models for Location, Scale and Shape with an Application to Bacterial Competition
We extend Generalized Additive Models for Location, Scale, and Shape (GA...
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05/04/2018
Selective Inference for L_2-Boosting
We review several recently proposed post-selection inference frameworks ...
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05/04/2018
Valid Inference for L_2-Boosting
We review several recently proposed post-selection inference frameworks ...
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03/15/2018
Conditional Model Selection in Mixed-Effects Models with cAIC4
Model selection in mixed models based on the conditional distribution is...
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09/20/2016