Journal Articles

  1. Bissiri, P. G., Nipoti, B., Porcu, E., & White, P. (2026). A Non-Parametric Framework for Correlation Functions on Product Metric Spaces. International Statistical Review.
  2. Cleanthous, G., Georgiadis, A. G., & White, P. A. (2025). Pointwise density estimation on metric spaces and applications in seismology. Metrika, 88(2), 119–148.
  3. Ferrans, M., Salomons, H., Moore, K., White, P., Hare, B., & Gruen, M. E. (2025). Salivary cortisol is an unreliable correlate of serum cortisol in adult pet dogs and assistance dog puppies. Scientific Reports, 15(1), 15986.
  4. Caddiell, R. M. P., White, P. A., McNamee, E. H., Lynch, A. M., Lascelles, B. D. X., & Gruen, M. E. (2025). Tailoring treatment: dog breed status influences pain assessment and treatment in emergency veterinary care. Frontiers in Pain Research, 6, 1589082.
  5. Heaton, M. J., Dahl, B. K., Dayley, C., Warr, R. L., & White, P. (2024). Integrating machine learning and Bayesian nonparametrics for flexible modeling of point pattern data. Computational Statistics & Data Analysis, 191, 107875.
  6. White, P. A., Frye, H. A., Slingsby, J. A., Silander Jr, J. A., & Gelfand, A. E. (2024). Generative spatial generalized dissimilarity mixed modelling (spGDMM): An enhanced approach to modelling beta diversity. Methods in Ecology and Evolution, 15(1), 214–226.
  7. Alegrı́a Alfredo, Cleanthous, G., Georgiadis, A. G., Porcu, E., & White, P. A. (2024). Gaussian random fields on the product of spheres: Theory and applications. Electronic Journal of Statistics, 18(1), 1394–1435.
  8. White, P. A., Gelfand, A. E., Frye, H., & Silander Jr, J. A. (2024). Good modelling practice in ecology, the hierarchical Bayesian perspective. Ecological Modelling, 496, 110847.
  9. Sheanshang, D. M., White, P. A., & Keeler, D. G. (2023). Outlier accommodation with semiparametric density processes: A study of Antarctic snow density modelling. Statistical Modelling, 23(2), 151–172.
  10. Heiner, M., Heaton, M. J., Abbott, B., White, P., Minaudo, C., & Dupas, R. (2023). Model-based clustering of trends and cycles of nitrate concentrations in Rivers across France. Journal of Agricultural, Biological and Environmental Statistics, 28(1), 74–98.
  11. Warr, L. R., Heaton, M. J., Christensen, W. F., White, P. A., & Rupper, S. B. (2023). Distributional validation of precipitation data products with spatially varying mixture models. Journal of Agricultural, Biological and Environmental Statistics, 28(1), 99–116.
  12. White, P. A., Christensen, M. F., Frye, H., Gelfand, A. E., & Silander Jr, J. A. (2023). Joint multivariate and functional modeling for plant traits and reflectances. Environmental and Ecological Statistics, 30(3), 501–528.
  13. Salomons, H., Smith, K. C. M., Callahan-Beckel, M., Callahan, M., Levy, K., Kennedy, B. S., Bray, E. E., Gnanadesikan, G. E., Horschler, D. J., Gruen, M., & others. (2023). Response to Hansen Wheat et al.: additional analysis further supports the early emergence of cooperative communication in dogs compared to wolves raised with more human exposure. Learning & Behavior, 51(2), 131–134.
  14. Caddiell, R. M. P., Cunningham, R. M., White, P. A., Lascelles, B. D. X., & Gruen, M. E. (2023). Pain sensitivity differs between dog breeds but not in the way veterinarians believe. Frontiers in Pain Research, 4, 1165340.
  15. Caddiell, R. M. P., White, P., Lascelles, B. D. X., Royal, K., Ange-van Heugten, K., & Gruen, M. E. (2023). Veterinary education and experience shape beliefs about dog breeds Part 1: Pain sensitivity. Scientific Reports, 13(1), 13846.
  16. Caddiell, R. M. P., White, P., Lascelles, B. D. X., Royal, K., Ange-van Heugten, K., & Gruen, M. E. (2023). Veterinary education and experience shape beliefs about dog breeds. Part 2: Trust. Scientific Reports, 13(1), 13847.
  17. Porcu, E., White, P. A., & Genton, M. G. (2023). Stationary nonseparable space-time covariance functions on networks. Journal of the Royal Statistical Society Series B: Statistical Methodology, 85(5), 1417–1440.
  18. Mason, A. J., McCardell, J. M., White, P. A., & Colton, J. S. (2023). Improving performance in upper-division electricity and magnetism with explicit incentives to correct mistakes. Physical Review Physics Education Research, 19(2), 020104.
  19. White, P. A., Frye, H., Christensen, M. F., Gelfand, A. E., & Silander, J. A. (2022). Spatial functional data modeling of plant reflectances. The Annals of Applied Statistics, 16(3), 1919–1936.
  20. Porcu, E., & White, P. A. (2022). Random fields on the hypertorus: covariance modeling and applications. Environmetrics, 33(1), e2701.
  21. Bowie, A., Zhou, W., Tan, J., White, P., Stoinski, T., Su, Y., & Hare, B. (2022). Motivating children’s cooperation to conserve forests. Conservation Biology, 36(4), e13922.
  22. Emery, X., Porcu, E., & White, P. (2022). New validity conditions for the multivariate Matérn coregionalization model, with an application to exploration geochemistry. Mathematical Geosciences, 54(6), 1043–1068.
  23. White, P. A., Keeler, D. G., Sheanshang, D., & Rupper, S. (2022). Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing. Environmetrics, e2726.
  24. White, P. A., & Gelfand, A. E. (2021). Multivariate functional data modeling with time-varying clustering. Test, 30(3), 586–602.
  25. White, P. A., & Gelfand, A. E. (2021). Generalized evolutionary point processes: model specifications and model comparison. Methodology and Computing in Applied Probability, 23(3), 1001–1021.
  26. White, P. A., Keeler, D. G., & Rupper, S. (2021). Hierarchical integrated spatial process modeling of monotone west antarctic snow density curves. The Annals of Applied Statistics, 15(2), 556–571.
  27. Cleanthous, G., Porcu, E., & White, P. (2021). Regularity and approximation of Gaussian random fields evolving temporally over compact two-point homogeneous spaces: G. Cleanthous et al. Test, 30(4), 836–860.
  28. Alegrı́a Alfredo, Bissiri, P. G., Cleanthous, G., Porcu, E., & White, P. (2021). Multivariate isotropic random fields on spheres: Nonparametric Bayesian modeling and L p fast approximations. Electronic Journal of Statistics, 15(1), 2360–2392.
  29. Salomons, H., Smith, K. C. M., Callahan-Beckel, M., Callahan, M., Levy, K., Kennedy, B. S., Bray, E. E., Gnanadesikan, G. E., Horschler, D. J., Gruen, M., & others. (2021). Cooperative communication with humans evolved to emerge early in domestic dogs. Current Biology, 31(14), 3137–3144.
  30. Gruen, M. E., White, P., & Hare, B. (2020). Do dog breeds differ in pain sensitivity? Veterinarians and the public believe they do. PLoS One, 15(3), e0230315.
  31. White, P. A., Berrett, C., Neeley-Tass, E. S., & Findley, M. G. (2019). Modeling Efficiency of Foreign Aid Allocation in Malawi. The American Statistician.
  32. White, P. A., Gelfand, A. E., Rodrigues, E. R., & Tzintzun, G. (2019). Pollution state modeling for Mexico city. Journal of the Royal Statistical Society Series A, 182(3), 1039–1060.
  33. White, P. A., & Porcu, E. (2019). Nonseparable covariance models on circles cross time: A study of Mexico City ozone. Environmetrics, 30(5), e2558.
  34. White, P. A., Reese, C. S., Christensen, W. F., & Rupper, S. (2019). A model for Antarctic surface mass balance and ice core site selection. Environmetrics, 30(8), e2579.
  35. White, P., & Porcu, E. (2019). Towards a complete picture of stationary covariance functions on spheres cross time. Electronic Journal of Statistics, 13(2), 2566–2594.
  36. White, P., Gelfand, A., & Utlaut, T. (2017). Prediction and model comparison for areal unit data. Spatial Statistics, 22, 89–106.
  37. Colton, J. S., Meyer, D., Clark, K., Craft, D., Cutler, J., Park, T., & White, P. (2012). Long-lived electron spins in a modulation doped (100) GaAs quantum well. Journal of Applied Physics, 112(8).