Research

You can also find links to published articles on my Google Scholar profile.

Working papers

Stress and memory Silva-Jones, J. R., Smith, A. L., Marshburn, C., Crosswell, A., Mendes, W. B. and Whitehurst, L. N. “Contextualizing cognition: Socio-environmental factors shape how momentary stress predicts memory.” Under review.


Model checking for ARD Ward, Owen, Smith, A. L., Zheng, T. “Bayesian modeling for aggregated relational data: a unified perspective”. Arxiv. Under review.


Publications

Opioid Shipments Delcher, C., Smith, A. L., Romanelli, F., Gaskill, L., and Surratt, H. (2024) “Oxymorphone and Oxycodone Pharmacy Purchases in U.S. Counties: Prelude to the Largest Rural Human Immunodeficiency Virus Outbreak in U.S. History”. Pharmacoepidemiology and Drug Safety, 3:12, e70066. DOI


Harris, D. R., Quesinberry, D., Anthony, N., Bae, J., Smith, A. L., Delcher, C. (2024) “Housing Instability Increases for Stimulant-involved Overdose Deaths After Linking Surveillance Data to Electronic Health Records in Kentucky.” Drug and Alcohol Dependence, 264:112455. DOI

Gilmore, G. R., Smith, A. L., Dickinson, F. B., Crosswell, A. D., Mendes, W. B., & Whitehurst, L. N. (2024) “Sleep/wake regularity influences how stress shapes executive function.” Frontiers in Sleep 3, 1359723. DOI

Where trust can breakdown Broderick, T., Gelman A., Meager, R., Smith, A., and Zheng, T. (2023), “Toward a Taxonomy of Trust for Probabilistic Machine Learning.” Science Advances 9:7. DOI





Prediction scoring Smith, A., Zheng, T., and Gelman, A. (2023), “Prediction scoring of data-driven discoveries for reproducible research,” Statistics and Computing, 33:1, 1-21. DOI





Latent social rankings Ward, O., Wu, J., Zheng, T., Smith, A. L., and Curley, J. (2022), “Network Hawkes process models for exploring latent hierarchy in social animal interactions,” Journal of the Royal Statistical Society: Series C, 71:5, 1402-1426. DOI



Point process diagnostics Wu, J., Smith, A. L., and Zheng, T. (2021), “Diagnostics and Visualization of Point Process Models for Event Times on a Social Network,” Applied Modeling Techniques and Data Analysis 1, edited by Dimotilakis, Y., Karagrigoriou, A., Parpoula, Ch. and Skiadas, Ch. iSTE, Wiley, 7, 129-145. DOI


Hyperbolic latent space network Smith, A. L., Asta, D. M., and Calder, C. A. (2019), “The Geometry of Continuous Latent Space Models for Network Data,” Statistical Science, 34:3, 428-453. DOI




Co-location networks Browning, C. R., Calder, C. A., Boettner, B., and Smith, A. (2017), “Ecological networks and urban crime: The structure of shared routine activity locations and neighborhood-level informal control capacity,” Criminology, 55, 754-778. DOI



Browning, C. R., Calder, C. A., Krivo, L. J., Smith, A. L., and Boettner, B. (2017), “Socioeconomic segregation of activity spaces in urban neighborhoods: Does shared residence mean shared routines?” RSF: The Russel Sage Foundation Journal of the Social Sciences, 3:2, 210-231. DOI

Browning, C. R., Calder, C. A., Ford, J. L., Boettner, B., Smith, A. L. and Haynie, D. (2017), “Understanding racial differences in exposure to violent areas: Integrating survey, smartphone, and administrative data resources,” The Annals of the American Academy of Political and Social Science, 669, 41-62. DOI

Network size mattersSmith, A., Calder, C. A., and Browning, C. R. (2016), “Empirical reference distributions for networks of different size,” Social Networks, 47, 24-37. DOI