34 citations · 90 across the 8 of their papers we have counts for
8 papers
Variable Selection in Functional Linear Quantile Regression for Identifying Associations between Daily Patterns of Physical Activity and Cognitive Function
Yuanzhen Yue, Stella Self, Yichao Wu +2
Quantile regression is useful for characterizing the conditional distribution of a response variable and understanding heterogeneity in the covariate effects at different quantiles…
Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
Debangan Dey, Rahul Ghosal, Kathleen Merikangas +1
Modern mobile health (mHealth) assessment combines self-reported measures of participants' health experiences with passively collected health behavior data throughout the day. Thes…
Functional Principal Component Analysis for Continuous non-Gaussian, Truncated, and Discrete Functional Data
Debangan Dey, Rahul Ghosal, Kathleen Merikangas +1
Mobile health studies often collect multiple within-day self-reported assessments of participants' behavior and well-being on different scales such as physical activity (continuous…
Distributional outcome regression via quantile functions and its application to modelling continuously monitored heart rate and physical activity
Rahul Ghosal, Sujit K. Ghosh, Jennifer A. Schrack +1
Modern clinical and epidemiological studies widely employ wearables to record parallel streams of real-time data on human physiology and behavior. With recent advances in distribut…
Shape-constrained Estimation in Functional Regression with Bernstein Polynomials
Rahul Ghosal, Sujit Ghosh, Jacek Urbanek +2
Shape restrictions on functional regression coefficients such as non-negativity, monotonicity, convexity or concavity are often available in the form of a prior knowledge or requir…
Bayesian Inference for Generalized Linear Model with Linear Inequality Constraints
Rahul Ghosal, Sujit K. Ghosh
Bayesian statistical inference for Generalized Linear Models (GLMs) with parameters lying on a constrained space is of general interest (e.g., in monotonic or convex regression), b…
Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer's Disease
Rahul Ghosal, Vijay R. Varma, Dmitri Volfson +4
Wearable data is a rich source of information that can provide deeper understanding of links between human behaviours and human health. Existing modelling approaches use wearable d…
Distributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer's Disease
Rahul Ghosal, Vijay R. Varma, Dmitri Volfson +5
With the advent of continuous health monitoring with wearable devices, users now generate their unique streams of continuous data such as minute-level step counts or heartbeats. Su…