12 citations · 30 across the 9 of their papers we have counts for
15 papers · 1 filter
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…
PROLIFIC: Projection-based Test for Lack of Importance of Smooth Functional Effect in Crossover Design
Salil Koner, Ana-Maria Staicu, Arnab Maity
Wearable devices for continuous monitoring of electronic health increased attention due to their richness in information. Often, inference is drawn from features that quantify some…
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…
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…