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Rahul Ghosal
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Impact of the COVID-19 induced lockdown measures on PM2. 5 concentration in USA
R Ghosal, E Saha
Atmospheric Environment 254, 118388, 2021
222021
Continuous gait monitoring discriminates community‐dwelling mild Alzheimer's disease from cognitively normal controls
VR Varma, R Ghosal, I Hillel, D Volfson, J Weiss, J Urbanek, JM Hausdorff, ...
Alzheimer's & Dementia: Translational Research & Clinical Interventions 7 (1 …, 2021
222021
Distributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer's Disease
R Ghosal, VR Varma, D Volfson, I Hillel, J Urbanek, JM Hausdorff, A Watts, ...
Biostatistics, 2021
202021
Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer’s disease
R Ghosal, VR Varma, D Volfson, J Urbanek, JM Hausdorff, A Watts, ...
Scientific reports 12 (1), 11558, 2022
162022
Variable selection in functional linear concurrent regression
R Ghosal, A Maity, T Clark, SB Longo
Journal of the Royal Statistical Society Series C: Applied Statistics 69 (3 …, 2020
142020
Bayesian inference for generalized linear model with linear inequality constraints
R Ghosal, SK Ghosh
Computational Statistics & Data Analysis 166, 107335, 2022
132022
Variable selection in nonparametric functional concurrent regression
R Ghosal, A Maity
Canadian Journal of Statistics 50 (1), 142-161, 2022
72022
A score based test for functional linear concurrent regression
R Ghosal, A Maity
Econometrics and Statistics 21, 114-130, 2022
72022
Shape-constrained estimation in functional regression with Bernstein polynomials
R Ghosal, S Ghosh, J Urbanek, JA Schrack, V Zipunnikov
Computational Statistics & Data Analysis 178, 107614, 2023
62023
Variable selection in nonlinear function‐on‐scalar regression
R Ghosal, A Maity
Biometrics 79 (1), 292-303, 2023
52023
Estimating menarcheal age distribution from partially recalled data
S Mirzaei Salehabadi, D Sengupta, R Ghosal
Biostatistics 21 (4), 876-894, 2020
42020
Multivariate Scalar on Multidimensional Distribution Regression
R Ghosal, M Matabuena
arXiv preprint arXiv:2310.10494, 2023
22023
A Device Agnostic Approach to Predict Children's Activity from Consumer Wearable Accelerometer Data: A Proof-of-Concept Study.
RG Weaver, J White, O Finnegan, S Nelakuditi, X Zhu, S Burkart, M Beets, ...
Medicine and Science in Sports and Exercise, 2023
22023
Evaluation of a device-agnostic approach to predict sleep from raw accelerometry data collected by Apple Watch Series 7, Garmin Vivoactive 4, and ActiGraph GT9X Link in …
RG Weaver, M de Zambotti, J White, O Finnegan, S Nelakuditi, X Zhu, ...
Sleep Health 9 (4), 417-429, 2023
22023
Distributional outcome regression and its application to modelling continuously monitored heart rate and physical activity
R Ghosal, SK Ghosh, JA Schrack, V Zipunnikov
arXiv preprint arXiv:2301.11399, 2023
22023
A Statistical Exploration of Duckworth-Lewis Method Using Bayesian Inference
I Bhattacharya, R Ghosal, S Ghosh
arXiv preprint arXiv:1810.00908, 2018
22018
Comparison of raw accelerometry data from ActiGraph, Apple Watch, Garmin, and Fitbit using a mechanical shaker table
JW White III, OL Finnegan, N Tindall, S Nelakuditi, DE Brown III, RR Pate, ...
Plos one 19 (3), e0286898, 2024
12024
Deep learning framework with uncertainty quantification for survey data: Assessing and predicting diabetes mellitus risk in the american population
M Matabuena, JC Vidal, R Ghosal, JP Onnela
arXiv preprint arXiv:2403.19752, 2024
12024
Personalized imputation in metric spaces via conformal prediction: Applications in predicting diabetes development with continuous glucose monitoring information
M Matabuena, C Díaz-Louzao, R Ghosal, F Gude
arXiv preprint arXiv:2403.18069, 2024
12024
Distributional outcome regression via quantile functions and its application to modelling continuously monitored heart rate and physical activity
R Ghosal, SK Ghosh, JA Schrack, V Zipunnikov
arXiv preprint arXiv:2301.11399, 2023
12023
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