Recent Publications in TAMU Statistics

Gutierrez, R., Scheffler, A., Guhaniyogi, R., Gorno-Tempini, M., Mandelli, M., Battistella, G. 2025. "Multiobject data integration in the study of primary progressive aphasia." Annals of Applied Statistics 19(4): 3282-3303 https://projecteuclid.org/journals/annals-of-applied-statistics/volume-19/issue-4/Multiobject-data-integration-in-the-study-of-primary-progressive-aphasia/10.1214/25-AOAS2071.full

Guhaniyogi, R., Baracaldo, L., Banerjee, S. 2025. "Bayesian data sketching for varying coefficient regression models." Journal of Machine Learning Research 26: 1-29 https://jmlr.org/papers/v26/23-0505.html

Spencer, D., Gutierrez, R., Guhaniyogi, R., Shinohara, R., Prado, R., Alzheimer's Disease Neuroimaging Initiatives 2025. "Bayesian scalar-on-tensor regression using Tucker decomposition for sparse spatial modeling." Biostatistics, 26(1). https://academic.oup.com/biostatistics/article/26/1/kxaf029/8403422

Sun, L., Huang, Z., Chiu, C., and Ning, N. 2025. “Detecting Structural Shifts and Estimating Change-Points in Interval-Based Time Series.” Statistics and Computing 35: 127. https://link.springer.com/article/10.1007/s11222-025-10666-y

Soroushi, H., Abbasi, S., Du, Y., Ning, N., and Lei, Y. 2025. “Temporal Interference Stimulation: Mechanisms, Optimization, Validation, and Clinical Prospects—A Comprehensive Review.” WIREs Computational Statistics 17(3). https://wires.onlinelibrary.wiley.com/doi/10.1002/wics.70031

Li, H., and Ning, N. 2025. “Doubly Reflected Backward SDEs Driven by $G$-Brownian Motions and Fully Nonlinear PDEs with Double Obstacles.” Stochastics and Partial Differential Equations: Analysis and Computations, 1–40. https://rdcu.be/eeF5F

Ning, N. 2025. “Convergence of Dirichlet Forms for MCMC Optimal Scaling with General Target Distributions on Large Graphs.” Annals of Applied Probability 35(2): 898–935. https://projecteuclid.org/journals/annals-of-applied-probability/volume-35/issue-2

Ning, N. 2025. “Bayesian Feature Selection in Joint Quantile Time Series Analysis.” Bayesian Analysis, 1–27. https://projecteuclid.org/journals/bayesian-analysis/advance-publication/Bayesian-Feature-Selection-in-Joint-Quantile-Time-Series-Analysis/10.1214/23-BA1401.full

Dong, J., Wong, R. K. W., and Chan, K. C. G. 2025. “Balancing Weights for Non-monotone Missing Data.” Electronic Journal of Statistics 19(2): 4312–4355. https://doi.org/10.1214/25-EJS2438

Hong, S., Qi, Z., and Wong, R. K. W. 2025. “Distributional Off-policy Evaluation with Bellman Residual Minimization.” International Conference on Artificial Intelligence and Statistics (AISTATS). https://proceedings.mlr.press/v258/hong25c.html

Dutta, P., Josan, P. K., Wong, R. K. W., Dunbar, B., Selva, D., and Diaz-Artiles, A. 2025. “Effects of Explanations and Accuracy on Human Performance and Trust in AI-Assisted Anomaly Diagnosis Tasks.” Journal of Cognitive Engineering and Decision Making 19(4): 453–473. https://doi.org/10.1177/15553434251338433

Josan, P. K., Dutta, P., Abbott, R., Viros-i-Martin, A., Dunbar, B., Wong, R. K. W., Selva, D., and Diaz-Artiles, A. 2025. “Virtual Assistant for Spacecraft Anomaly Resolution: Effects on Human Performance Metrics.” Journal of Aerospace Information Systems 22(4): 264–274. https://arc.aiaa.org/doi/10.2514/1.I011449

Saha, R., Das, P., and Laha, N. (2025). The two-sample location shift model under log-concavity. Journal of Statistical Planning and Inference, 238, 106272. https://www.sciencedirect.com/science/article/abs/pii/S0378375825000102

Lin, X. and Chattterjee, N. (2025). “A conversation with Raymond J. Carroll”. Statistical Science, 39, 508-517. https://www.scribd.com/document/911678984/24-STS931

Cowan, A., Bailey, R. L., Gahche, J.J., Dwyer, J. T., Reynolds, L. M., Carroll, R. J., Mallick, B. M., Mitchell. D. C. and Tooze, J. Y. (2025). “Methods matter for dietary supplement exposure assessment: comparing prevalence, product types, and amounts of nutrients from dietary supplements in the Interactive Diet and Activity Tracking in AARP Cohort Study”. American Journal of Clinical Nutrition, 121, 1258-1267.

Dai, G., Chen, J. and Carroll, R. J. (2025). “Valid and efficient inference for nonparametric variable importance in two-phase studies”. Biometrics, https://doi.org/10.1093/biomtc/ujaf095

Camirand Lemyre, F., Carroll, R. J. and Delaigle, A. (2025). “Nonparametric density estimation of a long-term trend from repeated semi-continuous data. Journal of the American Statistical Association”, https://doi.org/10.1080/01621459.2025.2555054.

Cirkovic, D., Wang, T., and Zhang, X. 2025. “Likelihood-based Inference for Random Networks with Changepoints.” IEEE Transactions on Network Science and Engineering. https://ieeexplore.ieee.org/document/11052875?denied=.

Cirkovic, D., Wang, T., and Zhang, X. 2025. “Likelihood-based Inference for Random Networks with Changepoints.” IEEE Transactions on Network Science and Engineering. https://ieeexplore.ieee.org/document/11052875?denied=.

Zhou, H., Yang, L., Chen, J., and Zhang, X. 2025. “BMDD: A Probabilistic Framework for Accurate Imputation of Zero-inflated Microbiome Sequencing Data.” PLOS Computational Biology 21(10): e1013124. https://doi.org/10.1371/journal.pcbi.1013124

Li, G., and Zhang, X. 2025. “A Note on E-values and Multiple Testing.” Biometrika 112: asae050. https://doi.org/10.1093/biomet/asae050

Crafts, E., Zhang, X., and Zhao, B. 2025. “Bayesian Cramér–Rao Bound Estimation with Score-Based Models.” IEEE Transactions on Information Theory 71(3): 2007–2027. https://ieeexplore.ieee.org/document/10643208

Mora-Gutierrez, A.; Gonzalez, M. T. N. D.; Attaie, R.; Jung, Y. ”Soy Protein Isolate-Stachyose Emulsion Gel as a Delivery System for Vitamin D3: Effect on the Humoral Immune Response in Dairy Goats under Heat Stress,” Animals, 2025, 15, 2588. https://doi.org/10.3390/ani15172588

Satvik Praveen, Yoonsung Jung, ”CBAM-STN-TPS-YOLO: Enhancing Agricultural Object Detection through Spatially Adaptive Attention Mechanisms,” arxiv: Computer Science-Computer Vision and Pattern Recognition, 2025, https://doi.org/10.48550/arXiv.2506.07357

Maryuri T. Nunez de Gonzalez, Peter A.Y. Ampim, Rahmat Attaie, Eric Obeng, Selamawit Woldesenbet, Adela Mora-Gutierrez, Russell Wallace, Yoonsung Jung, ”Impact of Soil-Applied Biopesticides on Yield and the Postharvest Quality of Strawberry Fruits in Southeast Texas,” Plants 2025, 14(8), 1197; DOI: 10.3390/plants14081197    

S Kuiper, A Chakraborty, T George, L Kay, L Lesser, G Rowell, D Pearl, S Crawford, A Olsen (2025). "The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making" Journal of Statistics and Data Science Education 1-933(2), 143–151. https://doi.org/10.1080/26939169.2024.2441672

J Hernandez, H Lee, M Vigilant, S Crawford, P Pietrantonio (2025). "The V410L kdr allele in the VGSC confers higher levels of field resistance to permethrin in urban mosquito populations of Aedes aegypti (L.)" Pest Manag Sci 81(2):923-936. https://scijournals.onlinelibrary.wiley.com/doi/abs/10.1002/ps.8495

N Lemke, C Li, A Dickerson, D Salizar, L Rollinson, J Mendoza, C Miranda, S Crawford, J Tomberlin (2025). "Heterogeny in cages: Age-structure and timing of attractant availability impacts fertile egg production in the black soldier fly, Hermetia illucens" Journal of Insects as Food and Feed https://doi.org/10.1163/23524588-bja1027

Datta S., Guha R., Shudde R, Johnson, V.E. 2025. "Bayes factors functions based on test statistics and non-local moment prior densities.'' Statistics & Probability Letters, 219, https://doi.org/10.1016/j.spl.2024.110330.

Laine C.G., Johnson V.E., Scott H.M., Arenas-Gamboa A. 2025. "Malaria misdiagnosis substantially contributes to the underestimation of global human brucellosis incidence," BMC Public Health 25(1), DOI: 10.1186/s12889-025-22665-9.

Zhang, X., and Zhou, H. 2025. “Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks.” International Conference on Learning Representations (ICLR). https://iclr.cc/virtual/2025/poster/28263

D. Xiao, X. Li, D.B.H. Cline and D. Loguinov, 2025. Estimating DNS Source and Cache Dynamics under Interval-Censored Age Sampling, ACM Transactions on Modeling and Performance Evaluation of Computing Systems 10. https://doi.org/10.1145/3712697

B. Wei, S. Çetinkaya and D.B.H. Cline, 2025. Cost- and Service-based Comparison of Practical Policies for Stochastic Clearing under Nonlinear Delay Penalty, IISE Transactions. https://doi.org/10.1080/24725854.2025.256845

D. Cirkovic, T. Wang and D.B.H. Cline, 2025. Emergence of Multivariate Extremes in Multilayer Inhomogeneous Random Graphs, Stochastic Processes and their Applications190. https://doi.org/10.1016/j.spa.2025.104762

Rodriguez-Acosta, J., Guha, S., Gailliot, S., & Williams, A. 2025. "Supervised Learning with Inter- and Intra-Dependence in Multilayer Networks with Applications in Security Systems Analysis." Technometrics, 1–14. https://www.tandfonline.com/doi/abs/10.1080/00401706.2025.2574417

Guha, S., and Reiter, J. P. 2025. “Differentially private estimation of weighted average treatment effects for binary outcomes.” Computational Statistics & Data Analysis 207: 108145. https://www.sciencedirect.com/science/article/abs/pii/S0167947325000210

Bhavsar, N. A., Jowers, K., Yang, L. Z., Guha, S., Lin, X., Peskoe, S. B., McManus, H., et al. 2025. “The association between long-term PM2.5 exposure and risk for pancreatic cancer: an application of social informatics.” American Journal of Epidemiology 194(3): 730-737. https://doi.org/10.1093/aje/kwae271

Rodriguez-Acosta, J., Guha, S., Bernard, J., Magalhaes, T., and McOwen, K. 2025. “Bayesian Data Fusion of Network Graphs and Spatially Correlated Node Attributes.” Preprint, posted June 30, 2025. https://hdl.handle.net/1969.1/1593061

Rodriguez-Acosta, J., Guha, S., Patel, L., and Shuler, K. 2025. “Joint modeling of temporally evolving multiplex graphs and nodal attributes using neural Gaussian processes: Insights from terrorism network analysis.” Preprint, posted June 30, 2025.  https://hdl.handle.net/1969.1/1593062

Huang, W., Harrell, M. B., Page, R. L., Morris, T., Ayres, S., Choudhury, M., Betancourt, D. and Sinha, S. (2025). Nicotine consumption and folate insufficiency in pregnancy: a population-based cross-sectional study. The Journal of Maternal-Fetal & Neonatal Medicine, 38:1, 2577231, https://doi.org/10.1080/14767058.2025.2577231

Gladwell, L. A., Packer, L., Karthik, J., Kwong, J., Hummel, R., Jia, Y., Sinha, S., Morris, T., Page, R. and Choudhury, M. (2025). Environmental toxicants in the Hispanic community epigenetically contributing to preeclampsia. Cardiovascular Toxicology. https://doi.org/10.1007/s12012-025-10049-9

Wu, Y-A., Lidbury, J.A., Sinha, S., and Steiner, J. M. (2025). Randomized open-label clinical trial comparing prednisolone and cyclosporine with a non-randomized active control for treating presumed chronic pancreatitis in cats. Journal of Veterinary Internal Medicine. https://doi.org/10.1111/jvim.70163

Betancourt, D., Shumate, C., Canfield, M. A., Ferdinand, A., Page, R., Morris, T., Ayres, S., and Sinha, S.(2025). Assessing the impact of social factors on survival among infants born with transposition of the great arteries, tetralogy of fallot, and diaphragmatic hernia in Texas, 2011-2019. Maternal and Child Health Journal. https://doi.org/10.1007/s10995-025-04126-2

Gutierrez, R., Scheffler, A., Guhaniyogi, R., Gorno-Tempini, M., Mandelli, M., Battistella, G. 2025. "Multiobject data integration in the study of primary progressive aphasia." Annals of Applied Statistics 19(4): 3282-3303 https://projecteuclid.org/journals/annals-of-applied-statistics/volume-19/issue-4/Multiobject-data-integration-in-the-study-of-primary-progressive-aphasia/10.1214/25-AOAS2071.full

Guhaniyogi, R., Baracaldo, L., Banerjee, S. 2025. "Bayesian data sketching for varying coefficient regression models." Journal of Machine Learning Research 26: 1-29 https://jmlr.org/papers/v26/23-0505.html

Spencer, D., Gutierrez, R., Guhaniyogi, R., Shinohara, R., Prado, R., Alzheimer's Disease Neuroimaging Initiatives 2025. "Bayesian scalar-on-tensor regression using Tucker decomposition for sparse spatial modeling." Biostatistics, 26(1). https://academic.oup.com/biostatistics/article/26/1/kxaf029/8403422

Gailliot, S., Guhaniyogi, R., Peng, R.D. 2025. "Data sketching and stacking: a confluence of two strategies for predictive inference in Gaussian process regressions with high-dimensional features." Revision Requested, https://arxiv.org/abs/2406.18681

Jeon, Y., Guhaniyogi, R., Scheffler, A. 2025. "Deep generative modeling of spatial and network images: an explainable AI (XAI) approach." https://arxiv.org/abs/2505.12743

Jeon, Y., Guhaniyogi, R., Scheffler, A., Francom, D., Pasqualini, D. 2025. "Interpretable deep neural network for modeling functional surrogates." https://arxiv.org/abs/2503.20528

Lei, B., Jeon, Y., Guhaniyogi, R. Scheffler, A., Mallick, B.K., Alezheimer's Disease Neuroimaging Initiative. 2025. "Integrative variational autoencoders for generative modeling of an image outcome with multiple input images." https://arxiv.org/abs/2402.02734

Kal, N., Szabo, B., Guhaniyogi, R., Pillai, N.S., Pati, D. 2025. "Adaptive divide and conquer with two rounds of communication." https://arxiv.org/abs/2508.17073

Chakrabarti, A., Ni, Y., Pati, D., Mallick, B. (2025). “Global–Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data”. The Annals of Applied Statistics, 19(3): 2254–2278, September 2025. https://projecteuclid.org/journals/annals-of-applied-statistics/volume-19/issue-3/Global-local-Dirichlet-processes-for-identifying-pan-cancer-subpopulations-using/10.1214/25-AOAS2056.full

Chakrabarti, A., Ni, Y., Pati, D., Mallick, B. (2025). “Global–Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables”. In Proceedings of the 42^nd International Conference on Machine Learning. Proceedings of Machine Learning Research 267, 7214–7249. PMLR. https://proceedings.mlr.press/v267/chakrabarti25a.html

Wang, L., Ni, Y., & Gaynanova, I. (2025). Truncated Gaussian copula principal component analysis with application to pediatric acute lymphoblastic leukemia patients’ gut microbiome. Statistical Methods in Medical Research, 09622802251412844. https://journals.sagepub.com/eprint/ZD9YSUIXDQ7UASWTMRYG/full

Das S., Chae M., Pati D., and Bandyopadhyay D. (2025). "A monotone single-index model for spatially referenced multistate current status data". Biometrics, 81(3), ujaf105. https://doi.org/10.1093/biomtc/ujaf105

Gaelle Kamdjo Guela, Laine, C. G., Gontao, P., Dada, C. O. G., Abiba, H., Desire, D. P., Mbacham, W., Garcia-Gonzalez, D., Vection, S., Gillece, J. D., Kim, M., Johnson, V. E., Foster, J. T., Wade, A., and Arenas-Gamboa, A. M. (2025), “Prevalence study in Cameroon identifies Brucella abortus as the endemic Brucella species in livestock,” Nature Communications, 16, 11600. https://doi.org/10.1038/s41467-025-66515-z. 

Sarkar, B., and Ni, Y. 2025. “MR.RGM: an R package for fitting Bayesian multivariate bidirectional Mendelian randomization networks.” Bioinformatics 41(4): btaf130. https://doi.org/10.1093/bioinformatics/btaf130

Hong, S., Wang, J., Qi, Z., and Wong, R. K. W. 2025. “A Principled Path to Fitted Distributional Evaluation.” Advances in Neural Information Processing Systems (NeurIPS).

Lin, X. and Chattterjee, N. (2025). “A conversation with Raymond J. Carroll”. Statistical Science, 39, 508-517.

Datta S., Guha R., Shudde R., Johnson V.E. (2025). ''On Bayes factor functions.'' Bayesian Analysis  20(4): 1399-1427

Datta S., Guha R., Shudde R., Johnson V.E. (2025). ''Bayes Factors Based on Test Statistics and Non-Local Moment Prior Densities.'' Statistics and Probability Letters Volume 219, April 2025, 110330

J Hernandez, H Lee, M Vigilant, S Crawford, P Pietrantonio (2025). "The V410L kdr allele in the VGSC confers higher levels of field resistance to permethrin in urban mosquito populations of Aedes aegypti (L.)" Pest Manag Sci 81(2):923-936

Datta, S., Guha, R., Shudde, R., Johnson, V.E. 2025. “On Bayes factor functions.” Bayesian Analysis, 20(4), 1399-1427.

Laine C.G., Johnson V.E., Scott H.M., Arenas-Gamboa A. 2025. "Malaria misdiagnosis substantially contributes to the underestimation of global human brucellosis incidence," BMC Public Health 25(1), DOI: 10.1186/s12889-025-22665-9.

Laha, N., Koner, S., Labowitz, A., and De Sarkar, N. (2025). False discovery rate control for grouped hypotheses: Application to miRNAome data. https://arxiv.org/abs/2505.17285 

Laha, N., Chapagain, N., Cicherski, V., and Sonabend, A. (2025). On Fisher consistency of surrogate losses for optimal dynamic treatment regimes with multiple categorical treatments per stage. https://arxiv.org/abs/2505.17285 

Rolig, A. S., Peng, X., Sturgill, E. R., Mick, C., McGee, G. H., Kasiewicz, M., Miller, W., Koguchi, Y., Adamow, M., Lee, J., Kaufmann, J., Yanamandra, N., Griffin, S., Smothers, J., Garnet-Benson, C., Jarchem, I., Shen, R., Callahan, M. K., and Redmond, W. L. 2025. “Response to anti-PD-1 + anti-LAG-3 checkpoint blockade is associated with T regulatory cell functional reprogramming and instability.” Science Translational Medicine 17: eadk3702. https://doi.org/10.1126/scitranslmed.adk3702

Smithy, J. W., Peng, X., Ehrich, F., Moy, A., Aleynick, N., Li, Y., Maher, C., Lee, J., Panageas, K. S., Hollman, T., Callahan, M. K., and Shen, R. 2025. “Quantitatively defined stromal B cell aggregates are associated with response to checkpoint inhibitors in unresectable melanoma.” Cell Reports 44(4): 115554. https://doi.org/10.1016/j.celrep.2025.115554.

Peng, X., Smithy, J. W., Yosofvand, M., Kostrzewa, C. E., Bleile, M., Ehrich, F. D., Lee, J., Postow, M. A., Callahan, M. K., Panageas, K. S., and Shen, R. 2025. “Scalable topic modelling decodes spatial tissue architecture for large-scale multiplexed imaging analysis.” Nature Communications 16: 6619. https://doi.org/10.1038/s41467-025-61821-y.

Bhattacharyya, S., Sang, H., and Mallick, B. "Constrained clustering via bayesian constrained random graph partitions." Bayesian Analysis , pages 1–30, 2025. https://projecteuclid.org/journals/bayesian-analysis/advance-publication/Constrained-Clustering-via-Bayesian-Constrained-Random-Graph-Partitions/10.1214/25-BA1563.full

Dey, D, Banerjee, S., Lindquist, M. A., and Datta, A. (2025), “Graph-constrained analysis for multivariate functional data,” Journal of Multivariate Analysis, 207, 105428. https://doi.org/10.1016/j.jmva.2025.105428

Ernst, P. A., Rogers, L. C. G., and Zhou, Q. 2025. "Yule's nonsense correlation: moments and density." Bernoulli 31(1): 412-431. https://doi.org/10.3150/24-BEJ1733 

Garg, J., Balasubramanian, K., and Zhou, Q. 2025. "Restricted spectral gap decomposition for simulated tempering targeting mixture distributions." Advances in Neural Information Processing Systems 38. https://openreview.net/forum?id=cE2yJsFwhw 

Venkatasamy L, Iannucci J, Pereverzev A, Hoar J, Huber E, Ifegbo A, Dominy R, El-Hakim Y, Mani K, Dabney AR, Pilla R, Sohrabji F, Shapiro LA. (2025) Systemic IGF-1 administration prevents traumatic brain injury induced gut permeability, dysmorphia, dysbiosis, and the increased number of immature dentate granule cells. {\it Acta Neuropathologica Communications}, 13:90. https://doi.org/10.1186/s40478-025-01998-x 

Seah C, Devarajan A, Vicari J, Dabney AR, Baltan S, Sohrabji F, Pennypacker KR, Nanda A, Woodward B, Rivet D, Fraser J, and Kellner CP. (2025) Reduced thrombus immunoreactivity is transcriptionally associated with greater NIHSS severity at presentation of ischemic stroke: Analysis from the INSIGHT registry. {\it Stroke}, {56}: Suppl. 1. https://doi.org/10.1161/str.56.suppl_1.TMP75

Seah C, Devarajan A, Vicari J, Dabney AR, Baltan S, Sohrabji F, Pennypacker KR, Nanda A, Woodward B, Rivet D, Fraser J, and Kellner CP. (2025) A distinct clot transcriptomic signature is associated with atrial fibrillation-derived ischemic stroke in the INSIGHT Registry. {\it Stroke}, {56}: A14. https://doi.org/10.1161/str.56.suppl_1.14