Publications by Department Members
Submitted
Automated scalable Bayesian inference via Hilbert coresets. arXiv:1710.05053. Submitted;. .
Proteomic biomarker study using novel robust penalized elastic net estimators. Annals of Applied Statistics. Submitted. .
Scalable Gaussian process inference with finite-data mean and variance guarantees. arXiv:1806.10234. Submitted;. .
Nondimensionalizing physical and statistical models: a unified approach. Statistical Science. Submitted. p. Submitted. .
A fast Monte Carlo test for preferential sampling. Submitted. .
In Press
Truncated random measures. Bernoulli. In Press;. .
Dynamic clustering algorithms via small-variance analysis of Markov chain mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence. In Press;. .
Adjusting for differential misclassification in matched case-control studies utilizing health administrative data. Statistics in Medicine. In Press;. .
Optimizing marine spatial plans with animal tracking data. Canadian Journal of Fisheries and Aquatic Sciences. In Press;. .
2024
A scalable approach to topic modelling in single-cell data by approximate pseudobulk projection. Life science alliance. Life Sci Alliance; 2024; 7. .
2023
Statistical inference under mixture models. Springer-ICSA. 2023. .
Knots and their effect on the tensile strength of lumber. Journal of Quality Technology. 2023. pp. 1-13. .
Multitissue H3K27ac profiling of GTEx samples links epigenomic variation to disease. Nat. Genet. nature.com; 2023; 55: 1665–1676. .
Tree-based boosting with functional data. Computational Statistics. 2023;. DOI: https://doi.org/10.1007/s00180-023-01364-2 Preprint: https://arxiv.org/abs/2109.02989 Software: https://github.com/xmengju/TFBoost .
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 .
Spatio–Temporal Methods in Environmental Epidemiology with R. CRC Press; 2023. .
Single-cell pair-wise relationships untangled by composite embedding model. iScience. 2023; 26: 106025. .
Single-nucleus multiregion transcriptomic analysis of brain vasculature in Alzheimer's disease. Nat. Neurosci. 2023; 26: 970–982. .
Human microglial state dynamics in Alzheimer's disease progression. Cell. 2023; 186: 4386–4403.e29. .
Epigenomic dissection of Alzheimer's disease pinpoints causal variants and reveals epigenome erosion. Cell. 2023; 186: 4422–4437.e21. .
Tree-structured topic modelling of single-cell gene expression data uncovers hierarchical relationships between immune cell types. bioRxiv. 2023. p. 2023.11.06.565879. .
Unraveling dynamically encoded latent transcriptomic patterns in pancreatic cancer cells by topic modeling. Cell Genomics. 2023; 3: 100388. .
Gaussian mixture reduction with composite transportation divergence. IEEE Transactions on Information Theory. 2023;. DOI: doi.org/10.1109/TIT.2023.3323346 .
2022
Permutation tests under a rotating sampling plan with clustered data. Ann. Appl. Statist. 2022; 16: 936-958. DOI: 10.1214/21-AOAS1526 .
Permutation tests under a rotating sampling plan with clustered data. The Annals of Applied Statistics. 2022; 16: 936–958. .
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 .
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 .
Sufficient principal component regression for genomics. Bioinformatics Advances [Internet]. 2022; 2: vbac033. URL: https://doi.org/10.1093/bioadv/vbac033 .
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 .
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 .
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 .
Density ratio model with data-adaptive basis function. Journal of Multivariate Analysis. 2022; 191. .
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
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 .
Blang: Probabilitistic Programming for Combinatorial Spaces. Journal of Statistical Software. 2021; (Accepted). .
Composite empirical likelihood for multisample clustered data. J Nonparametric Statistics. 2021;: Accepted Apr 2021. .
Composite empirical likelihood for multisample clustered data. Journal of Nonparametric Statistics. Taylor & Francis; 2021; 33: 60–81. .
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 .
Test for homogeneity with unordered paired observations. Electronic Journal of Statistics. Institute of Mathematical Statistics and Bernoulli Society; 2021; 15: 1661–1694. .
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 .
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 .
Can Auxiliary Indicators Improve COVID-19 Forecasting and Hotspot Prediction?. Proceedings of the National Academy of Sciences [Internet]. 2021; 118: e2111453118. URL: https://doi.org/10.1073/pnas.2111453118 .
Markov-switching State Space Models for Uncovering Musical Interpretation. Annals of Applied Statistics [Internet]. 2021; 15: 1147–1170. URL: https://doi.org/10.1214/21-AOAS1457 .
Ellipse detection and localization with applications to knots in sawn lumber images. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). 2021. pp. 3892-3901. .
CoCoA-diff: counterfactual inference for single-cell gene expression analysis. Genome Biol. BioMed Central; 2021; 22: 1–23. .
Flexible analysis of TSS mapping data and detection of TSS shifts with TSRexploreR. NAR Genomics and Bioinformatics [Internet]. 2021; 3: 1–10. URL: https://doi.org/10.1093/nargab/lqab051 .
An Open Repository of Real-Time COVID-19 Indicators. Proceedings of the National Academy of Sciences [Internet]. 2021; 118: e2111452118. URL: https://doi.org/10.1073/pnas.2111452118 .
Clonal fitness inferred from time-series modelling of single-cell cancer genomes. Nature. 2021; (Accepted). .
Modelling multi-scale, state-switching functional data with hidden Markov models. Canadian Journal of Statistics. 2021; 50(1). .