Impact of the COVID-19 induced lockdown measures on PM2. 5 concentration in USA R Ghosal, E Saha Atmospheric Environment 254, 118388, 2021 | 22 | 2021 |
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 | 22 | 2021 |
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 | 20 | 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 R Ghosal, VR Varma, D Volfson, J Urbanek, JM Hausdorff, A Watts, ... Scientific reports 12 (1), 11558, 2022 | 16 | 2022 |
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 | 14 | 2020 |
Bayesian inference for generalized linear model with linear inequality constraints R Ghosal, SK Ghosh Computational Statistics & Data Analysis 166, 107335, 2022 | 13 | 2022 |
Variable selection in nonparametric functional concurrent regression R Ghosal, A Maity Canadian Journal of Statistics 50 (1), 142-161, 2022 | 7 | 2022 |
A score based test for functional linear concurrent regression R Ghosal, A Maity Econometrics and Statistics 21, 114-130, 2022 | 7 | 2022 |
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 | 6 | 2023 |
Variable selection in nonlinear function‐on‐scalar regression R Ghosal, A Maity Biometrics 79 (1), 292-303, 2023 | 5 | 2023 |
Estimating menarcheal age distribution from partially recalled data S Mirzaei Salehabadi, D Sengupta, R Ghosal Biostatistics 21 (4), 876-894, 2020 | 4 | 2020 |
Multivariate Scalar on Multidimensional Distribution Regression R Ghosal, M Matabuena arXiv preprint arXiv:2310.10494, 2023 | 2 | 2023 |
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 | 2 | 2023 |
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 | 2 | 2023 |
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 | 2 | 2023 |
A Statistical Exploration of Duckworth-Lewis Method Using Bayesian Inference I Bhattacharya, R Ghosal, S Ghosh arXiv preprint arXiv:1810.00908, 2018 | 2 | 2018 |
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 | 1 | 2024 |
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 | 1 | 2024 |
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 | 1 | 2024 |
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 | 1 | 2023 |