1 citations · 3 across the 10 of their papers we have counts for
11 papers
TempoBridge: Language-Guided Tempo Control for Vision-Language-Action Policies
Yeonseo Lee, Hyosup Shin, Guebin Hwang +1
Vision-Language-Action (VLA) models are effective at understanding what task to perform, but provide limited control over how it should be executed, such as moving quickly or slowl…
Asynchronous Distributed ECME Algorithm for Matrix Variate Non-Gaussian Responses
Qingyang Liu, Sanvesh Srivastava, Dipankar Bandyopadhyay
We propose a regression model with matrix-variate skew-t response (REGMVST) for analyzing irregular longitudinal data with skewness, symmetry, or heavy tails. REGMVST models matrix…
Individualized treatment regimens under correlated data with multiple outcomes
Misha Dolmatov, Erica E. M. Moodie, David A. Stephens +1
Precision medicine involves developing individualized treatment regimes (ITRs) which allow for treatment decisions to be tailored to patient characteristics. Naturally, the identif…
An Interpretable Single-Index Mixed-Effects Model for Non-Gaussian National Survey Data
Qingyang Liu, Debdeep Pati, Dipankar Bandyopadhyay
This manuscript presents an innovative statistical model to quantify periodontal disease in the context of complex medical data. A mixed-effects model incorporating skewed random e…
A monotone single index model for spatially referenced multistate current status data
Snigdha Das, Minwoo Chae, Debdeep Pati +1
Assessment of multistate disease progression is commonplace in biomedical research, such as, in periodontal disease (PD). However, the presence of multistate current status endpoin…
A Monotone Single-Index Modal Regression Powered by Deep Neural Networks for Non-Gaussian Periodontal Data
Qingyang Liu, Shijie Wang, Ray Bai +1
Pocket depth (PD) is a widely used biomarker for diagnosing risk of periodontal disease (PrD). However, PD typically exhibits skewness and heavy-tailedness, and its relationship wi…
Model-based inference in complex surveys through targeted resampling of weights
Snigdha Das, Dipankar Bandyopadhyay, Debdeep Pati
Survey data often arises from complex sampling designs, such as stratified or multistage sampling, with unequal inclusion probabilities. When sampling is informative, traditional i…
Off-Policy Evaluation with Irregularly-Spaced, Outcome-Dependent Observation Times
Xin Chen, Wenbin Lu, Shu Yang +1
While the classic off-policy evaluation (OPE) literature commonly assumes decision time points to be evenly spaced for simplicity, in many real-world scenarios, such as those invol…
Joint modelling of time-to-event and longitudinal response using robust skew normal-independent distributions
Srimanti Dutta, Arindom Chakraborty, Dipankar Bandyopadhyay
Joint modelling of longitudinal observations and event times continues to remain a topic of considerable interest in biomedical research. For example, in HIV studies, the longitudi…
Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
Indranil Sahoo, Suman Majumder, Arnab Hazra +2
Observations of groundwater pollutants, such as arsenic or Perfluorooctane sulfonate (PFOS), are riddled with left censoring. These measurements have impact on the health and lifes…
Zero & -inflated overdispersed binomial models for sum-constrained Poisson count processes
James Sweeney, John Haslett, Dipankar Bandyopadhyay +2
A frequent challenge encountered with compositional ecological data is how to interpret and model data with a high proportion of zeros and 's. Such data frequently occur in ecol…