Pereira, L.A., Gutierrez, L., Taylor-Rodriguez, D., Mena, R., (2023). Bayesian nonparametric hypothesis testing for longitudinal data analysis. Computational Statistics and Data Analysis. Computational Statistics and Data Analysis. Volume 179, 2023, 107629, SSN 0167-9473. https://doi.org/10.1016/j.csda.2022.107629
Robinson, J. D., Rühlemann, C., & Taylor Rodriguez, D. (2022). The Bias Toward Single-Unit Turns in Conversation. Research on Language and Social Interaction, 1–19. https://doi.org/10.1080/08351813.2022.2067436
de Rivera, C. E., Bliss-Ketchum, L. L., Lafrenz, M. D., Hanson, A. v, McKinney-Wise, L. E., Rodriguez, A. H., Schultz, J., Simmons, A. L., Taylor Rodriguez, D., Temple, A. H., & Wheat, R. E. (2022). Visualizing Connectivity for Wildlife in a World Without Roads. Frontiers in Environmental Science, 10(February), 1–12. https://doi.org/10.3389/fenvs.2022.757954
Bisinotto, R., Ribeiro, E., Greco, L., Taylor-Rodriguez, D., Ealy, A., Ayres, H., Lima, F., Martinez-Patino, N., Thatcher, W., & Santos, J. E. (2021). Effects of progesterone concentrations and follicular wave during growth of the ovulatory follicle on conceptus and endometrial transcriptome in dairy cows. Journal of Dairy Science, 0(434), 4–11. https://doi.org/10.3168/jds.2021-20193
Suldovsky, B., & Taylor-Rodríguez, D. (2021). Epistemic engagement: Examining personal epistemology and engagement preferences with climate change in Oregon. Climatic Change, 166(48), 1–18.
Pereira, L.A., Taylor-Rodriguez, D., Gutierrez, L. (2020). A Bayesian Nonparametric Testing Procedure for Paired Samples. Biometrics, 76: 1133– 1146. https://doi.org/10.1111/biom.13234
Taylor-Rodriguez, D., Finley, A.O., Datta, A., Babcock, C., Andersen, H.E., Cook, B.D., Morton, D.C. and Banerjee, S. (2019). Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping. Statistica Sinica 29 (2019): 1155-1180. pdf file
Gutiérrez, L., Barrientos, A. F., González, J., & Taylor-Rodríguez, D. (2019). A Bayesian Nonparametric Multiple Testing Procedure for Comparing Several Treatments Against a Control. Bayesian Analysis, 14(2), 649-675. pdf file.
Taylor-Rodriguez, D., Kaufeld, K. A., Schliep, E. M., Clark, J. S., & Gelfand, A. E. (2017). Joint Species distribution modeling : dimension reduction using Dirichlet processes. Bayesian Analysis, 12(4), 939–967. pdf file
Taylor-Rodriguez, D., Bliznyuk, N., Womack, A., & Fuentes, C. (2017). Intrinsic Bayesian Analysis for Occupancy Models. Bayesian Analysis, 12(3), 855–877. pdf file
Taylor-Rodriguez D., Womack A, Bliznyuk N. Bayesian Variable Selection on Model Spaces Constrained by Heredity Conditions. Journal of Computational and Graphical Statistics. 2016;25(2), 515-535. doi:10.1080/10618600.2015.1056793.
Dorazio, R. M., & Rodríguez, D.T. (2012). A Gibbs sampler for Bayesian analysis of site-occupancy data. Methods in Ecology and Evolution. pdf file
Martinez, N, Sinedino, L D P, Bisinotto, R S, Ribeiro, E S, Gomes, G C, Lima, F S Greco, L F, Risco, C A, Galvão, K N, Taylor-Rodriguez, D, Driver, J P, Thatcher, W W, Santos, J. E. P. (2014). Effect of induced subclinical hypocalcemia on physiological responses and neutrophil function in dairy cows. Journal of Dairy Science, 97(2), 874–87. pdf file
Valderrama Vasquez C.A., W.F. Moreno Escobar, P. J. Isaacs Cubides, A. Riveros, A. Cepeda Beltran y D. Taylor-Rodrıguez, Depredacion al ganado por pumas (puma concolor) en los Andes colombianos, Conflictos humanos-felinos America Latina. Instituto Alexander Von-Humboldt, 2017. Ch 7, pg 107–221
Womack, A., Fuentes, C., Taylor-Rodriguez, D., The Matryoshka Doll Model Space Prior for Regression and Goldilocks’ Complexity Penalization.
Clark J.S., B. Bachelot, R.R. Dunn, A.E. Gelfand, R. Kays, C. Nuñez, E.M. Schliep, D. Taylor-Rodriguez, B. Tomasek, Generative models forecast community reorganization with climate change.
Taylor-Rodriguez, D., Ghosh, S. On the estimation of the order of smoothness of the regression function.
Bayesian Nonparametric methods to test for changes in extreme precipitation events
Spatial factor models for large and high-dimensional positive data to study biomass over the continental US
High-frequency digital marker data modeling to detect Alzheimer early onset
Shrinkage priors for hierarchically structured predictors
Adaptive construction of model spaces for semi-parametric modeling of regression curves on many predictors