Research

Research

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  1. Department of Statistics
  2. Research
  3. Publications by Department Members

Publications by Department Members

Submitted

Campbell T, Broderick T. Automated scalable Bayesian inference via Hilbert coresets. arXiv:1710.05053. Submitted;.
Chen X. Highly Multivariate Large-scale Spatial Stochastic Processes – A Doubly Conditional Independence Approach. Shaddick G. J Royal Statistical Society, Ser B. Submitted;.
Freue GVCohen, Kepplinger D, Salibian-Barrera M, Smucler E. Proteomic biomarker study using novel robust penalized elastic net estimators. Annals of Applied Statistics. Submitted.
Huggins J, Campbell T, Kasprzak M, Broderick T. Scalable Gaussian process inference with finite-data mean and variance guarantees. arXiv:1806.10234. Submitted;.
Lee TYoon, Zidek JV, Heckman N. Nondimensionalizing physical and statistical models: a unified approach. Statistical Science. Submitted. p. Submitted.
Watson J, Joy R, Tollit D, Thornton SJ, Auger-Méthé M. A general framework for estimating the spatio-temporal distribution of a species using multiple data types. Submitted.
Watson J. A fast Monte Carlo test for preferential sampling. Submitted.

In Press

Campbell T, Huggins J, How J, Broderick T. Truncated random measures. Bernoulli. In Press;.
Campbell T, Kulis B, How J. Dynamic clustering algorithms via small-variance analysis of Markov chain mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence. In Press;.
Högg T, Zhao Y, Gustafson P, Petkau J, Fisk J, Marrie RAnn, et al.. Adjusting for differential misclassification in matched case-control studies utilizing health administrative data. Statistics in Medicine. In Press;.
Lennox RJ, Engler-Palma C, Kowarski K, Filous A, Whitlock R, Cooke SJ, et al. Optimizing marine spatial plans with animal tracking data. Canadian Journal of Fisheries and Aquatic Sciences. In Press;.

2024

Ju X, Salibian-Barrera M. Tree-based boosting with functional data. Computational Statistics. 2024; 39: 1587 - 1620. DOI: https://doi.org/10.1007/s00180-023-01364-2 Preprint: https://arxiv.org/abs/2109.02989 Software: https://github.com/xmengju/TFBoost
Liang X, Cohen A, Heinsfeld ASólon, Pestilli F, McDonald DJ. sparsegl: An R Package for Estimating Sparse Group Lasso. Journal of Statistical Software [Internet]. 2024; 110: 1–23. URL: https://doi.org/10.18637/jss.v110.i06
Liu J, Cai Z, Gustafson P, McDonald DJ. rtestim: Time-varying reproduction number estimation with trend filtering. PLOS Computational Biology [Internet]. 2024; 20: e1012324. URL: https://doi.org/10.1371/journal.pcbi.1012324
Mathis SM, Webber AE, León TM, Murray EL, Sun M, White LA, et al.. Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations. Nature Communications [Internet]. 2024; 15: 6289. URL: https://doi.org/10.1038/s41467-024-50601-9
Sadhanala V, Bassett R, Sharpnack J, McDonald DJ. Exponential family trend filtering on lattices. Electronic Journal of Statistics [Internet]. 2024; 18: 1749–1814. URL: https://doi.org/10.1214/24-EJS2241
Subedi S, Sumida TS, Park YP. A scalable approach to topic modelling in single-cell data by approximate pseudobulk projection. Life science alliance. Life Sci Alliance; 2024; 7.
Tuzhilina E, Hastie TJ, McDonald DJ, J. Tay K, Tibshirani R. Smooth multi-period forecasting with application to prediction of COVID-19 cases. Journal of Computational and Graphical Statistics [Internet]. 2024; 33: 955-967. URL: https://doi.org/10.1080/10618600.2023.2285337
Vinci-Booher S, McDonald DJ, Berquist E, Pestilli F. Associative white matter tracts selectively predict sensorimotor learning. Communications Biology [Internet]. 2024; 7: 762. URL: https://doi.org/10.1038/s42003-024-06420-1

2023

Chen J. Statistical inference under mixture models. Springer-ICSA. 2023.
Fan S, Wong SW;K, Zidek JV. Knots and their effect on the tensile strength of lumber. Journal of Quality Technology. 2023. pp. 1-13.
Hou L, Xiong X, Park Y, Boix C, James B, Sun N, et al. Multitissue H3K27ac profiling of GTEx samples links epigenomic variation to disease. Nat. Genet. nature.com; 2023; 55: 1665–1676.
Pham D, Ding L, McDonald DJ, Nebel MBeth, Mejia A. Less is more: Balancing noise reduction and data retention in fMRI with projection scrubbing. Neuroimage [Internet]. 2023; 270: 119972. URL: {https://doi.org/10.1016/j.neuroimage.2023.119972
Salibian-Barrera M. Robust nonparametric regression: review and practical considerations. Econometrics and Statistics. 2023;. DOI: 10.1016/j.ecosta.2023.04.004 Preprint: https://arxiv.org/abs/2211.08376 Software: https://github.com/msalibian/RobustNonParam
Shaddick G, Zidek JV, Schmidt AM. Spatio–Temporal Methods in Environmental Epidemiology with R. CRC Press; 2023.
Subedi S, Park YP. Single-cell pair-wise relationships untangled by composite embedding model. iScience. 2023; 26: 106025.
Sun N, Victor MB, Park YP, Xiong X, Scannail ANi, Leary N, et al. Human microglial state dynamics in Alzheimer's disease progression. Cell. 2023; 186: 4386–4403.e29.
Sun N, Akay LAnne, Murdock MH, Park Y, Galiana-Melendez F, Bubnys A, et al. Single-nucleus multiregion transcriptomic analysis of brain vasculature in Alzheimer's disease. Nat. Neurosci. 2023; 26: 970–982.
Xiong X, James BT, Boix CA, Park YP, Galani K, Victor MB, et al. Epigenomic dissection of Alzheimer's disease pinpoints causal variants and reveals epigenome erosion. Cell. 2023; 186: 4422–4437.e21.
Ye PE, Zhang Y, Geltink RIKlein, Park YP. Tree-structured topic modelling of single-cell gene expression data uncovers hierarchical relationships between immune cell types. bioRxiv. 2023. p. 2023.11.06.565879.
Zhang Y, Khalilitousi M(sam), Park YP. Unraveling dynamically encoded latent transcriptomic patterns in pancreatic cancer cells by topic modeling. Cell Genomics. 2023; 3: 100388.
Zhang Q, Zhang AGong, Chen J. Gaussian mixture reduction with composite transportation divergence. IEEE Transactions on Information Theory. 2023;. DOI: doi.org/10.1109/TIT.2023.3323346

2022

Chen J, Liu Y, Taylor CG, Zidek JV. Permutation tests under a rotating sampling plan with clustered data. Ann. Appl. Statist. 2022; 16: 936-958. DOI: 10.1214/21-AOAS1526
Chen J, Liu Y, Taylor CG, Zidek JV. Permutation tests under a rotating sampling plan with clustered data. The Annals of Applied Statistics. 2022; 16: 936–958.
Cramer EY, Ray EL, Lopez VK, Bracher J, Brennen A, Rivadeneira AJCastro, et al. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences [Internet]. 2022; 119: e2113561119. URL: https://www.pnas.org/doi/abs/10.1073/pnas.2113561119
Dean CB, El-Shaarawi AH, Esterby SR, Flemming JMills, Routledge RD, Taylor SW, et al. Canadian contributions to environmetrics. Canadian Journal of Statistics [Internet]. 2022; n/a. DOI: https://doi.org/10.1002/cjs.11743 URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/cjs.11743
Ding L, Zentner GE, McDonald DJ. Sufficient principal component regression for genomics. Bioinformatics Advances [Internet]. 2022; 2: vbac033. URL: https://doi.org/10.1093/bioadv/vbac033
He M, Chen J. Consistency of the MLE under a two-parameter gamma mixture model with a structural shape parameter. Metrika [Internet]. 2022; ?? URL: https://doi.org/10.1007/s00184-021-00856-9
He M, Chen J. Consistency of the MLE under two-parameter mixture models with a structural scale parameter. Advances in Data Analysis and Classification [Internet]. 2022; 16: 125-154. URL: http://doi.org/10.1007/s11634-021-00472-5
Isberg S, Welch WJ. Adaptive Design and Analysis Via Partitioning Trees for Emulation of a Complex Computer Code. Journal of Computational and Graphical Statistics [Internet]. 2022;: 1-12. DOI: 10.1080/10618600.2022.2039160 URL: https://doi.org/10.1080/10618600.2022.2039160
Zhang AGong, Chen Jand. Density ratio model with data-adaptive basis function. Journal of Multivariate Analysis. 2022; 191.
Zhang Q, Chen J. Distributed learning of finite Gaussian mixtures. Journal of Machine Learning Research [Internet]. 2022; 23: 1-40. URL: \urlhttp://jmlr.org/papers/v23/21-0093.html

2021

Boente G, Salibian-Barrera M. Robust functional principal components for sparse longitudinal data. Metron. 2021;. DOI: 10.1007/s40300-020-00193-3 Preprint: https://arxiv.org/abs/2012.01540 Software: https://github.com/msalibian/sparseFPCA
Bouchard-Côté A, Chern K, Cubranic D, Hosseini S, Hume J, Lepur M, et al.. Blang: Probabilitistic Programming for Combinatorial Spaces. Journal of Statistical Software. 2021; (Accepted).
Chen J, Li P, Yukun L, Zidek J. Monitoring test under nonparametric random effects model. Journal of Nonparametric Statistics [Internet]. 2021; 33: 60-81. URL: https://doi.org/10.1080/10485252.2021.1914337
Chen J, Li P, Qin J, Yu T. Test for homogeneity with unordered paired observations. Electronic Journal of Statistics. Institute of Mathematical Statistics and Bernoulli Society; 2021; 15: 1661–1694.
Chen J, Li P, Liu Y, Zidek JV. Composite empirical likelihood for multisample clustered data. J Nonparametric Statistics. 2021;: Accepted Apr 2021.
Chen J, Li P, Liu Y, Zidek JV. Composite empirical likelihood for multisample clustered data. Journal of Nonparametric Statistics. Taylor & Francis; 2021; 33: 60–81.
Ju X, Salibian-Barrera M. Robust Boosting for Regression Problems. Computational Statistics and Data Science [Internet]. 2021; 153. DOI: 10.1016/j.csda.2020.107065 URL: https://arxiv.org/abs/2002.02054 Software: https://github.com/xmengju/RRBoost
Martínez A, Salibian-Barrera M. RBF: An R package to compute a robust backfitting estimator for additive models. The Journal of Open Source Software. 2021; 6(60). DOI: 10.21105/joss.02992 Software: https://github.com/msalibian/RBF

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