activity
20202024
most citedSemiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024★ 1 cited

Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data

Benny Ren, Ian Barnett, Haochang Shou +8

In the age of digital healthcare, passively collected physical activity profiles from wearable sensors are a preeminent tool for evaluating health outcomes. In order to fully lever…

stat.ME2024

The Cox-Polya-Gamma Algorithm for Flexible Bayesian Inference of Multilevel Survival Models

Benny Ren, Jeffrey Morris, Ian Barnett

Bayesian Cox semiparametric regression is an important problem in many clinical settings. Bayesian procedures provide finite-sample inference and naturally incorporate prior inform…

stat.ME2022

Analysis of block slice samplers for Bayesian GLMMs and GAMs with linear inequality and shape constraints

Benny Ren, Jeffrey Morris, Ian Barnett

Exponential family models, generalized linear models (GLMs), generalized linear mixed models (GLMMs) and generalized additive models (GAMs) are widely used methods in statistics. H…

stat.ME2022

Combining Mixed Effects Hidden Markov Models with Latent Alternating Recurrent Event Processes to Model Diurnal Active-Rest Cycles

Benny Ren, Ian Barnett

Data collected from wearable devices and smartphones can shed light on an individual's pattern of behavioral and circadian routine. Phone use can be modeled as alternating event pr…

stat.ME2020

Autoregressive Mixture Models for Serial Correlation Clustering of Time Series Data

Benny Ren, Ian Barnett

Clustering time series into similar groups can improve models by combining information across like time series. While there is a well developed body of literature for clustering of…