22 citations · 76 across the 25 of their papers we have counts for
29 papers
Predicting Bot Vulnerability from Posting Trajectories: Censored Functional Regression under Informative Sampling
Jake Koerner, Ana-Maria Staicu, Caitrin Murphy +4
In this manuscript, we propose a novel framework for Scalar-on Censored Informative-design Functional Regression or SoCIFR. This setting is increasingly common in modern longitudin…
A Two-Stage Approach for Segmenting Spatial Point Patterns Applied to Multiplex Imaging
Alvin Sheng, Brian J. Reich, Ana-Maria Staicu +3
Recent advances in multiplex imaging have enabled researchers to locate different types of cells within a tissue sample. This is especially relevant for tumor immunology, as clinic…
Supervised low-rank approximation of high-dimensional multivariate functional data via tensor decomposition
Mohammad Samsul Alam, Ana-Maria Staicu, Pixu Shi
Motivated by the challenges of analyzing high-dimensional () sequencing data from longitudinal microbiome studies, where samples are collected at multiple time points from…
Normative brain mapping of 3-dimensional morphometry imaging data using skewed functional data analysis
Marco Palma, Shahin Tavakoli, Julia Brettschneider +2
Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth but they exhibit (especially in diseased…
Quantile regression for longitudinal functional data with application to feed intake of lactating sows
Maria Laura Battagliola, Helle Sørensen, Anders Tolver +1
This article focuses on the study of lactating sows, where the main interest is the influence of temperature, measured throughout the day, on the lower quantiles of the daily feed…
Projection-based significance test for longitudinally collected functional data under a crossover design
Salil Koner, Ana-Maria Staicu, Arnab Maity
Wearable devices for continuous electronic health monitoring often capture data at frequent intervals under a dense functional design. The focal point is the analysis of longitudin…
A bias-adjusted estimator in quantile regression for clustered data
Maria Laura Battagliola, Helle Sørensen, Anders Tolver +1
The manuscript discusses how to incorporate random effects for quantile regression models for clustered data with focus on settings with many but small clusters. The paper has thre…
PROFIT: Projection-based Test in Longitudinal Functional Data
Salil Koner, So Young Park, Ana-Maria Staicu
In many modern applications, a dependent functional response is observed for each subject over repeated time, leading to longitudinal functional data. In this paper, we propose a n…
Latent-state models for precision medicine
Zekun Xu, Eric Laber, Ana-Maria Staicu +1
Observational longitudinal studies are a common means to study treatment efficacy and safety in chronic mental illness. In many such studies, treatment changes may be initiated by…
Model Testing for Generalized Scalar-on-Function Linear Models
Stephanie T. Chen, Luo Xiao, Ana-Maria Staicu
Scalar-on-function linear models are commonly used to regress functional predictors on a scalar response. However, functional models are more difficult to estimate and interpret th…
An Approximate Restricted Likelihood Ratio Test for Variance Components in Generalized Linear Mixed Models
Stephanie T. Chen, Luo Xiao, Ana-Maria Staicu
Generalized linear mixed models (GLMMs) are used to model responses from exponential families with a combination of fixed and random effects. For variance components in GLMMs, we p…
A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes
Arnab Hazra, Brian J. Reich, Ana-Maria Staicu
To study trends in extreme precipitation across US over the years 1951-2017, we consider 10 climate indexes that represent extreme precipitation, such as annual maximum of daily pr…
Hierarchical Continuous Time Hidden Markov Model, with Application in Zero-Inflated Accelerometer Data
Zekun Xu, Eric B. Laber, Ana-Maria Staicu
Wearable devices including accelerometers are increasingly being used to collect high-frequency human activity data in situ. There is tremendous potential to use such data to infor…
A semiparametric spatiotemporal Bayesian model for the bulk and extremes of the Fosberg Fire Weather Index
Arnab Hazra, Brian J. Reich, Benjamin A. Shaby +1
Large wildfires pose a major environmental concern, and precise maps of fire risk can improve disaster relief planning. Fosberg Fire Weather Index (FFWI) is often used to measure w…
A nonparametric spatial test to identify factors that shape a microbiome
Susheela P. Singh, Ana-Maria Staicu, Robert R. Dunn +2
The advent of high-throughput sequencing technologies has made data from DNA material readily available, leading to a surge of microbiome-related research establishing links betwee…
Functional Variable Selection for EMG-based Control of a Robotic Hand Prosthetic
Md Nazmul Islam, Jonathan Stallings, Ana-Maria Staicu +3
State-of-the-art robotic hand prosthetics generate finger and wrist movement through pattern recognition (PR) algorithms using features of forearm electromyogram (EMG) signals, but…
Spatial shrinkage via the product independent Gaussian process prior
Arkaprava Roy, Brian J. Reich, Joseph Guinness +2
We study the problem of sparse signal detection on a spatial domain. We propose a novel approach to model continuous signals that are sparse and piecewise smooth as product of inde…
A Comparison of Testing Methods in Scalar-on-Function Regression
Merve Yasemin Tekbudak, Marcela Alfaro Córdoba, Arnab Maity +1
A scalar-response functional model describes the association between a scalar response and a set of functional covariates. An important problem in the functional data literature is…
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…