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07/07/2023
Density-on-Density Regression
In this study, a density-on-density regression model is introduced, wher...
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06/26/2023
Covariance Estimation and Principal Component Analysis for Mixed-Type Functional Data with application to mHealth in Mood Disorders
Mobile digital health (mHealth) studies often collect multiple within-da...
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01/26/2023
Distributional outcome regression and its application to modelling continuously monitored heart rate and physical activity
We propose a distributional outcome regression (DOR) with scalar and dis...
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09/09/2022
Shape-constrained Estimation in Functional Regression with Bernstein Polynomials
Shape restrictions on functional regression coefficients such as non-neg...
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05/13/2022
Semiparametric Gaussian Copula Regression modeling for Mixed Data Types (SGCRM)
Many clinical and epidemiological studies encode collected participant-l...
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06/07/2021
Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer's Disease
Wearable data is a rich source of information that can provide deeper un...
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02/22/2021
Distributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer's Disease
With the advent of continuous health monitoring via wearable devices, us...
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10/31/2019