Dr. Daniel Rowe

Dr. Daniel RoweMarquette University

Cudahy Hall, 313

MilwaukeeWI53201United States of America(414) 288-5228daniel.rowe@marquette.eduPersonal Website

Professor

Department of Mathematical and Statistical Sciences

Courses Taught

• Computational Statistics
• Statistical Simulation
• Biostatistical Methods and Models
• Modern Elementary Statistics

Research Interests

• Bayesian Statistics
• Computational Neuroscience
• Multivariate Big Data Analysis
• Statistical Data Science
• Statistical Image Processing & Estimation

Publications

• Wang Z, Rowe D.B., Li X, Brown DA, A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data. Magnetic Resonance Imaging, Online, 2024.
• Yu C-H, Prado R., Ombao H.C., Rowe D.B., Bayesian spatiotemporal modeling on complex-valued fMRI signals via kernel convolutions. Biometrics, 79:616-628, 2023.
• Herzberg W., Rowe D.B., Hauptmann A., Hamilton S., Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems. IEEE Transactions on Computational Imaging, 7:1341-1353, 2022. DOI: 10.1109/TCI.2021.3132190.
• Yu C-H, Prado R., Ombao H.C., Rowe D.B., A Bayesian Variable Selection Approach Yields Improved Brain Activation From Complex-Valued fMRI. Journal of the American Statistical Association, 113(524):1395-1410, 2018.
• Adrian D.W., Maitra R., Rowe D.B., Complex-valued time series modeling for improved activation detection in fMRI studies. The Annals of Applied Statistics, 12(3):1451-1478, 2018.
• Risk B.B., Kociuba M.C., Rowe D.B., Impacts of simultaneous multislice acquisition on sensitivity and specificity in fMRI. NeuroImage, 172:538-553, 2018.