Bayesian Functional Graphical Models with Change-Point Detection

C Liu, DR Kowal, J Doss-Gollin, M Vannucci - Computational Statistics & …, 2025 - Elsevier
Functional data analysis, which models data as realizations of random functions over a
continuum, has emerged as a useful tool for time series data. Often, the goal is to infer the …

Regression with race-modifiers: towards equity and interpretability

DR Kowal - Research Square, 2024 - pmc.ncbi.nlm.nih.gov
The pervasive effects of structural racism and racial discrimination are well-established and
offer strong evidence that the effects of many important variables on health and life …

Ultra-efficient MCMC for Bayesian longitudinal functional data analysis

TY Sun, DR Kowal - Journal of Computational and Graphical …, 2024 - Taylor & Francis
Functional mixed models are widely useful for regression analysis with dependent functional
data, including longitudinal functional data with scalar predictors. However, existing …

Efficient Bayesian Regression Methods for Dependent, Sparse Functional Data

T Sun - 2024 - search.proquest.com
Functional data analysis is widely useful for analysis of high resolution measurements over
a continuous domain. However, Bayesian inference for functional regression models can be …

A causal approach to functional mediation analysis with application to a smoking cessation intervention

DL Coffman, JJ Dziak, K Litson… - Multivariate …, 2023 - Taylor & Francis
The increase in the use of mobile and wearable devices now allows dense assessment of
mediating processes over time. For example, a pharmacological intervention may have an …

Regression with race-modifiers: towards equity and interpretability

D Kowal - europepmc.org
The pervasive effects of structural racism and racial discrimination are well-established and
offer strong evidence that the effects of many important variables on health and life …