Erik B. Erhardt, Ph.D.

Affiliations: 
2009 Statistics University of New Mexico, Albuquerque, NM, United States 
Area:
Statistics, Ecology Biology
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"Erik Erhardt"

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Edward J. Bedrick grad student 2009 Univ. of New Mexico
 (Stable isotope sourcing using sampling.)
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Publications

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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
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