Emily Charlotte Hector

Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications

Maceda, E., Hector, E. C., Lenzi, A., & Reich, B. J. (2026, January 1). Environmetrics, Vol. 1.

Multivariate and Online Transfer Learning With Uncertainty Quantification

Hickey, J., Williams, J. P., Reich, B. J., & Hector, E. C. (2026, February 1). Statistics in Medicine.

A Complete Density Correction using Normalizing Flows (CDC-NF) for CMIP6 GCMs

Fang, S., Majumder, R., Hector, E., Reich, B., & Sankarasubramanian, A. (2025, July 23). Scientific Data, Vol. 12.

Bayesian Estimation of Clustered Dependence Structures in Functional Neuroconnectivity

Kim, H., Ghosh, S. K., Martino, A. D., & Hector, E. C. (2025, June 30). Journal of Computational and Graphical Statistics, Vol. 8.

Dissecting genetic regulation of metabolic coordination

Hector, E. C., Zhang, D., Tian, L., Feng, J., Yin, X., Xu, T., … Yu, T. (2025, March 1). Briefings in Bioinformatics, Vol. 26.

Distributed model building and recursive integration for big spatial data modeling

Hector, E. C., Reich, B. J., & Eloyan, A. (2025, January 7). Biometrics, Vol. 81.

Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning

Manschot, C., & Hector, E. C. (2025, May 6). Canadian Journal of Statistics.

A statistical approach to system suitability testing for mass spectrometry imaging

Sohn, A. L., Kibbe, R. R., Dioli, O. E., Hector, E. C., Bai, H., Garrard, K. P., & Muddiman, D. C. (2024, March 8). Rapid Communications in Mass Spectrometry.

Absolute Quantification of Glutathione Using Top‐Hat Optics for IR‐MALDESI Mass Spectrometry Imaging

Bruce, E. R., Kibbe, R. R., Hector, E. C., & Muddiman, D. C. (2024, September 18). Journal of Mass Spectrometry, Vol. 59.

Multivariate and Online Transfer Learning with Uncertainty Quantification

Hickey, J., Williams, J. P., Reich, B. J., & Hector, E. C. (2024, November). ArXiv Preprint ArXiv:2411.12555. https://arxiv.org/abs/2411.12555

Partnering With Authors to Enhance Reproducibility at JASA

Wrobel, J., Hector, E. C., Crawford, L., McGowan, L. D. A., Silva, N., Goldsmith, J., … Wolfson, J. (2024, April 2). Journal of the American Statistical Association, Vol. 4.

Quantitative sampling by IR-MALDESI is not susceptible to tissue heterogeneity in a multi-organ model

Joignant, A. N., Hector, E. C., Barnes, M. M., Kullman, S. W., & Muddiman, D. C. (2024, November 13). Analytical and Bioanalytical Chemistry, Vol. 11.

Transfer learning with uncertainty quantification: Random Effect Calibration of Source to Target (RECaST)

Journal of Machine Learning Research, 25(338), 1–40. https://www.jmlr.org/papers/v25/22-1369.html

Turning the information-sharing dial: Efficient inference from different data sources

Hector, E. C., & Martin, R. (2024, January 1). Electronic Journal of Statistics, Vol. 18, pp. 2974–3020.

A statistical framework for GWAS of high dimensional phenotypes using summary statistics, with application to metabolite GWAS

ArXiv, arXiv:2303.10221.

Bayesian estimation of clustered dependence structures in functional neuroconnectivity

ArXiv, arXiv:2305.18044.

Distributed Inference for Spatial Extremes Modeling in High Dimensions

Hector, E. C., & Reich, B. J. (2023, March 6). Journal of the American Statistical Association, Vol. 4, pp. 1–25.

Distributed model building and recursive integration for big spatial data modeling

ArXiv:2305.15951.

Fused mean structure learning in data integration with dependence

Hector, E. C. (2023, October 27). Canadian Journal of Statistics, Vol. 10.

Fused mean structure learning in data integration with dependence

To Appear in The Canadian Journal of Statistics, arXiv:2210.02198.

Rejoinder: ‘Statistical inference for streamed longitudinal data’

Luo, L., Wang, J., & Hector, E. C. (2023, November 15). Rejoinder: ‘Statistical inference for streamed longitudinal data.’ Biometrika, Vol. 110, pp. 871–874.

Statistical inference for streamed longitudinal data

Luo, L., Wang, J., & Hector, E. C. (2023, February 16). Biometrika, Vol. 2.

Statistical inference for streamed longitudinal data

Biometrika, doi: 10.1093/biomet/asad010.

Functional Regression with Intensively Measured Longitudinal Outcomes: A New Lens through Data Partitioning

ArXiv, arXiv:2207.13014.

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Yin, X., Chan, L. S., Bose, D., Jackson, A. U., VandeHaar, P., Locke, A. E., … Boehnke, M. (2022, March 28). Nature Communications, Vol. 3.

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)

Sohn, A. L., Ping, L., Glass, J. D., Seyfried, N. T., Hector, E. C., & Muddiman, D. C. (2022, November 10). Metabolites, Vol. 12.

Joint integrative analysis of multiple data sources with correlated vector outcomes

Hector, E. C., & Song, P. X.-K. (2022, July 21). The Annals of Applied Statistics, Vol. 9.

Parallel-and-stream accelerator for computationally fast supervised learning

Hector, E. C., Luo, L., & Song, P. X.-K. (2022, August 8). Computational Statistics & Data Analysis, Vol. 1.

Perceived Invasiveness and Therapeutic Acceptability of Transcranial Magnetic Stimulation

Twiddy, J., Hector, E. C., & Dubljević, V. (2022, December 16). AJOB Neuroscience.

Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks

Shi, L., Wank, M., Chen, Y., Wang, Y., Liu, Y., Hector, E. C., & Song, P. X. K. (2022, September 29). IEEE Journal of Biomedical and Health Informatics, Vol. 27, pp. 421–432.

A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis

Hector, E. C., Song, P. X.-K., Hector, E. C., & Song, P. X.-K. (2020, March 2). Journal of the American Statistical Association, Vol. 116, pp. 805–818.

Doubly distributed supervised learning and inference with high-dimensional correlated outcomes

Journal of Machine Learning Research, 21, 1–35.

Integrative Analysis of Gene-Specific DNA Methylation and Untargeted Metabolomics Data from the ELEMENT Cohort

Goodrich, J. M., Hector, E. C., Tang, L., LaBarre, J. L., Dolinoy, D. C., Mercado-Garcia, A., … Peterson, K. E. (2020, January 1). Epigenetics Insights.

Mercury exposure in relation to sleep duration, timing, and fragmentation among adolescents in Mexico City

Environmental Research, 191, 110216.

Metabolomic determinants of metabolic risk in Mexican adolescents

Obesity (Silver Spring), 25(9), 1594–1602.

R package: DDIMM

D.D.I.M.M.

R package: DIMM

D.I.M.M.

R package: DIMM

D.I.M.M.

R package: DIQIF

D.I.Q.I.F.