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07/01/2022
Enhancing cluster analysis via topological manifold learning
We discuss topological aspects of cluster analysis and show that inferri...
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07/01/2022
A geometric framework for outlier detection in high-dimensional data
Outlier or anomaly detection is an important task in data analysis. We d...
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09/14/2021
A geometric perspective on functional outlier detection
We consider functional outlier detection from a geometric perspective, s...
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08/12/2021
Registration for Incomplete Non-Gaussian Functional Data
Accounting for phase variability is a critical challenge in functional d...
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07/28/2021
Developing Open Source Educational Resources for Machine Learning and Data Science
Education should not be a privilege but a common good. It should be open...
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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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02/03/2021
Statistical Inference for Ordinal Predictors in Generalized Linear and Additive Models with Application to Bronchopulmonary Dysplasia
Discrete but ordered covariates are quite common in applied statistics, ...
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12/22/2020
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction
In recent years, manifold methods have moved into focus as tools for dim...
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06/27/2020
A General Machine Learning Framework for Survival Analysis
The modeling of time-to-event data, also known as survival analysis, req...
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11/18/2019
Benchmarking time series classification – Functional data vs machine learning approaches
Time series classification problems have drawn increasing attention in t...
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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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06/04/2018