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Found 7 papers, 4 papers with code
Classification ensembles for multivariate functional data with application to mouse movements in web surveys
We propose new ensemble models for multivariate functional data classification as combinations of semi-metric-based weak learners.
Functional additive models on manifolds of planar shapes and forms
The "shape" of a planar curve and/or landmark configuration is considered its equivalence class under translation, rotation and scaling, its "form" its equivalence class under translation and rotation while scale is preserved.
Multivariate Functional Additive Mixed Models
Multivariate functional data can be intrinsically multivariate like movement trajectories in 2D or complementary like precipitation, temperature, and wind speeds over time at a given weather station.
Methodology
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features
We use data from a survey on respondents' employment history and demographic information, in which we experimentally manipulate the difficulty of several questions.
Inference for $L_2$-Boosting
We propose a statistical inference framework for the component-wise functional gradient descent algorithm (CFGD) under normality assumption for model errors, also known as $L_2$-Boosting.
Boosting Functional Regression Models with FDboost
In addition to mean regression, quantile regression models as well as generalized additive models for location scale and shape can be fitted with FDboost.
Computation
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals
The link between different psychophysiological measures during emotion episodes is not well understood.
