22 citations · 76 across the 25 of their papers we have counts for
8 papers · 1 filter
Longitudinal Dynamic Functional Regression
Md Nazmul Islam, Ana-Maria Staicu, Eric van Heugten
This article develops flexible methodology to study the association between scalar outcomes and functional predictors observed over time, at many instances, in longitudinal studies…
Simple fixed-effects inference for complex functional models
So Young Park, Ana-Maria Staicu, Luo Xiao +1
We propose simple inferential approaches for the fixed effects in complex functional mixed effects models. We estimate the fixed effects under the independence of functional residu…
Additive Function-on-Function Regression
Janet S. Kim, Ana-Maria Staicu, Arnab Maity +2
We study additive function-on-function regression where the mean response at a particular time point depends on the time point itself as well as the entire covariate trajectory. We…
Conditional analysis for mixed covariates, with application to feed intake of lactating sows
So Young Park, Cai Li, Santa-Maria Mendoza +2
We propose a novel modeling framework to study the effect of covariates of various types on the conditional distribution of the response. The methodology accommodates flexible mode…
Scalar-on-Image Regression via the Soft-Thresholded Gaussian Process
Jian Kang, Brian J. Reich, Ana-Maria Staicu
The focus of this work is on spatial variable selection for scalar-on-image regression. We propose a new class of Bayesian nonparametric models, soft-thresholded Gaussian processes…
Interactive graphics for functional data analyses
Julia Wrobel, So Young Park, Ana Maria Staicu +1
Although there are established graphics that accompany the most common functional data analyses, generating these graphics for each dataset and analysis can be cumbersome and time…
Inference in Functional Linear Quantile Regression
Meng Li, Kehui Wang, Arnab Maity +1
In this paper, we study statistical inference in functional quantile regression for scalar response and a functional covariate. Specifically, we consider a functional linear quanti…
Modeling Multivariate Mixed-Response Functional Data
Beth A. Tidemann-Miller, Brian J. Reich, Ana-Maria Staicu
We propose a Bayesian modeling framework for jointly analyzing multiple functional responses of different types (e.g. binary and continuous data). Our approach is based on a multiv…