Erik B. Erhardt, Ph.D.
Affiliations: | 2009 | Statistics | University of New Mexico, Albuquerque, NM, United States |
Area:
Statistics, Ecology BiologyGoogle:
"Erik Erhardt"Parents
Sign in to add mentorEdward J. Bedrick | grad student | 2009 | Univ. of New Mexico | |
(Stable isotope sourcing using sampling.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Warnick R, Guindani M, Erhardt E, et al. (2018) A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data. Journal of the American Statistical Association. 113: 134-151 |
Miller RL, Erhardt EB, Agcaoglu O, et al. (2015) Multidimensional frequency domain analysis of full-volume fMRI reveals significant effects of age, gender, and mental illness on the spatiotemporal organization of resting-state brain activity. Frontiers in Neuroscience. 9: 203 |
Allen EA, Damaraju E, Plis SM, et al. (2014) Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex (New York, N.Y. : 1991). 24: 663-76 |
Erhardt EB, Bedrick EJ. (2014) Inference for stable isotope mixing models: A study of the diet of dunlin Journal of the Royal Statistical Society. Series C: Applied Statistics. 63: 579-593 |
Erhardt EB, Bedrick EJ. (2013) A Bayesian framework for stable isotope mixing models Environmental and Ecological Statistics. 20: 377-397 |
Allen EA, Erhardt EB, Wei Y, et al. (2012) Capturing inter-subject variability with group independent component analysis of fMRI data: a simulation study. Neuroimage. 59: 4141-59 |
Allen EA, Erhardt EB, Damaraju E, et al. (2011) A baseline for the multivariate comparison of resting-state networks. Frontiers in Systems Neuroscience. 5: 2 |
Erhardt EB, Rachakonda S, Bedrick EJ, et al. (2011) Comparison of multi-subject ICA methods for analysis of fMRI data. Human Brain Mapping. 32: 2075-95 |