Emily Hector

Sohn, A. L., Kibbe, R. R., Dioli, O. E., Hector, E. C., Bai, H., Garrard, K. P., & Muddiman, D. C. (2024). A statistical approach to system suitability testing for mass spectrometry imaging. RAPID COMMUNICATIONS IN MASS SPECTROMETRY, 38(9). https://doi.org/10.1002/rcm.9725

Huang, W., Hector, E. C., Cape, J., & McKennan, C. (2023). A statistical framework for GWAS of high dimensional phenotypes using summary statistics, with application to metabolite GWAS. ArXiv, arXiv:2303.10221.

Kim, H., Ghosh, S., & Hector, E. C. (2023). Bayesian estimation of clustered dependence structures in functional neuroconnectivity. ArXiv, arXiv:2305.18044.

Hector, E. C., & Reich, B. J. (2023, April 12). Distributed Inference for Spatial Extremes Modeling in High Dimensions. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 4. https://doi.org/10.1080/01621459.2023.2186886

Hector, E. C., & Eloyan, A. (2023). Distributed model building and recursive integration for big spatial data modeling. ArXiv:2305.15951.

Hector, E. C. (2023, October 27). Fused mean structure learning in data integration with dependence. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, Vol. 10. https://doi.org/10.1002/cjs.11797

Hector, E. C. (2023). Fused mean structure learning in data integration with dependence. To Appear in The Canadian Journal of Statistics, arXiv:2210.02198.

Hector, E. C., Luo, L., & Song, P. X.-K. (2023). Parallel-and-stream accelerator for computationally fast supervised learning. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 177. https://doi.org/10.1016/j.csda.2022.107587

Twiddy, J., Hector, E. C., & Dubljević, V. (2023). Perceived Invasiveness and Therapeutic Acceptability of Transcranial Magnetic Stimulation. AJOB Neuroscience. https://doi.org/10.1080/21507740.2022.2150710

Luo, L., Wang, J., & Hector, E. C. (2023). Rejoinder: 'Statistical inference for streamed longitudinal data'. BIOMETRIKA, 110(4), 871–874. https://doi.org/10.1093/biomet/asad051

Shi, L., Wank, M., Chen, Y., Wang, Y., Liu, Y., Hector, E. C., & Song, P. X. K. (2023). Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 27(1), 421–432. https://doi.org/10.1109/JBHI.2022.3210485

Luo, L., Wang, J., & Hector, E. C. (2023, February 20). Statistical inference for streamed longitudinal data. BIOMETRIKA, Vol. 2. https://doi.org/10.1093/biomet/asad010

Luo, L., Wang, J., & Hector, E. C. (2023). Statistical inference for streamed longitudinal data. Biometrika, doi: 10.1093/biomet/asad010.

Hector, E. C., & Martin, R. (2022). An information-sharing dial for efficient inference in data integration. ArXiv, arXiv:2207.08886.

Manschot, C., & Hector, E. C. (2022). Functional Regression with Intensively Measured Longitudinal Outcomes: A New Lens through Data Partitioning. ArXiv, arXiv:2207.13014.

Yin, X., Chan, L. S., Bose, D., Jackson, A. U., VandeHaar, P., Locke, A. E., … Boehnke, M. (2022). Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci. NATURE COMMUNICATIONS, 13(1). https://doi.org/10.1038/s41467-022-29143-5

Sohn, A. L., Ping, L., Glass, J. D., Seyfried, N. T., Hector, E. C., & Muddiman, D. C. (2022). Interrogating the Metabolomic Profile of Amyotrophic Lateral Sclerosis in the Post-Mortem Human Brain by Infrared Matrix-Assisted Laser Desorption Electrospray Ionization (IR-MALDESI) Mass Spectrometry Imaging (MSI). METABOLITES, 12(11). https://doi.org/10.3390/metabo12111096

Hector, E. C., & Song, P. X.-K. (2022). JOINT INTEGRATIVE ANALYSIS OF MULTIPLE DATA SOURCES WITH CORRELATED VECTOR OUTCOMES. ANNALS OF APPLIED STATISTICS, 16(3), 1700–1717. https://doi.org/10.1214/21-AOAS1563

Hickey, J., Williams, J. P., & Hector, E. C. (2022). Transfer learning with uncertainty quantification: Random Effect Calibration of Source to Target (RECaST). ArXiv, arXiv:2211.16557.

Hector, E. C., & Song, P. X.-K. (2021). A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis. Journal of the American Statistical Association, 116(534), 805–818. https://doi.org/10.1080/01621459.2020.1736082

Hector, E. C., & Song, P. X.-K. (2020). Doubly distributed supervised learning and inference with high-dimensional correlated outcomes. Journal of Machine Learning Research, 21, 1–35.

Goodrich, J. M., Hector, E. C., Tang, L., LaBarre, J. L., Dolinoy, D. C., Mercado-Garcia, A., … Peterson, K. E. (2020). Integrative Analysis of Gene-Specific DNA Methylation and Untargeted Metabolomics Data from the ELEMENT Cohort. Epigenetics Insights. https://doi.org/10.1177/2516865720977888

Jansen, E. C., Hector, E. C., Goodrich, J. M., Cantoral, A., Rojo, M. M. T., Basu, N., … Peterson, K. E. (2020). Mercury exposure in relation to sleep duration, timing, and fragmentation among adolescents in Mexico City. Environmental Research, 191, 110216.

Perng, W., Hector, E. C., Song, P. X.-K., Rojo, M. M. T., Raskind, S., Kachman, M., … Peterson, K. E. (2017). Metabolomic determinants of metabolic risk in Mexican adolescents. Obesity (Silver Spring), 25(9), 1594–1602.