Publications by Department Members
Submitted
- Campbell T, Broderick T. Automated scalable Bayesian inference via Hilbert coresets arXiv:1710.05053. 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.
- 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.
2023
- 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
- Ju X, Salibian-Barrera M. 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
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
- 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
- Fan S, Wong SW;K, Zidek JV. Knots and their effect on the tensile strength of lumber Journal of Quality Technology. 2022 Submitted.
- 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
- Lee TYoon, Zidek JV, Heckman N. Nondimensionalizing physical and statistical models: a unified approach Electronic Journal of Statistics. 2022 Submitted.
- 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
- Boix CA, James BT, Park YP, Meuleman W, Kellis M. Regulatory genomic circuitry of human disease loci by integrative epigenomics Nature. 2021 590: 300–307.
- 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, Liu Y, Zidek JV. Permutation tests under a rotating sampling plan with clustered data Journal of nonparametric statistics. 2021 33: 60-81.
- 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. 2021 33: 60–81.
- Chen J, Li P, Qin J, Yu T. Test for homogeneity with unordered paired observations Electronic Journal of Statistics. 2021 15: 1661–1694.
- 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
- He L, Loika Y, Park Y, consortium GTissueExp, Bennett DA, Kellis M, et al. Exome-wide age-of-onset analysis reveals exonic variants in ERN1 and SPPL2C associated with Alzheimer's disease Transl. Psychiatry. 2021 11: 146.
- 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: DOI: 10.21105/joss.02992 Software: https://github.com/msalibian/RBF
- McDonald DJ, Bien J, Green A, Hu AJ, DeFries N, Hyun S, et al. 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
- McDonald DJ, McBride M, Gu Y, Raphael C. 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
- Pan S, Fan S, Wong S, Zidek JV, Rhodin H. Ellipse Detection and Localization with Application to Knots in Sawn Lumber I 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). 2021
- Park Y, He L, Davila-Velderrain J, Hou L, Mohammadi S, Mathys H, et al. Single-cell deconvolution of 3,000 post-mortem brain samples for eQTL and GWAS dissection in mental disorders Cold Spring Harbor Laboratory. 2021 2021.01.21.426000.
- Park Y, Kellis M. Counterfactual inference for single-cell gene expression analysis medRxiv. 2021
- Park YP, Kellis M. CoCoA-diff: counterfactual inference for single-cell gene expression analysis Genome Biol.. 2021 22: 1–23.
- Policastro RA, McDonald DJ, Brendel VP, Zentner GE. 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
- Reinhart A, Brooks L, Jahja M, Rumack A, Tang J, Saeed WAl, et al. 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
- Salehi S, others . Clonal fitness inferred from time-series modelling of single-cell cancer genomes Nature. 2021 (Accepted):
- Sidrow E, Heckman N, Fortune SME, Trites A, Murphy I, Auger-Méthé M. Modelling multi-scale, state-switching functional data with hidden Markov models Canadian Journal of Statistics. 2021 50:
- Syed S, Bouchard-Côté A, Deligiannidis G, Doucet A. Non-Reversible Parallel Tempering: a Scalable Highly Parallel MCMC Scheme Journal of Royal Statistical Society, Series B. 2021 (Accepted):
- Syed S, Romaniello V, Campbell T, Bouchard-Côté A. Parallel Tempering on Optimized Paths International Conference on Machine Learning (ICML). 2021 (Accepted):
- Wang Y, Le ND, Zidek JV. Approximately Optimal Subset Selection for Statistical Design and Modelling Journal of Statistical Computation and Simulation. 2021 1-13.
- Xiong X, Hou L, Park YP, Molinie B, Consortium G, Gregory RI, et al. Genetic drivers of m6A methylation in human brain, lung, heart and muscle Nat. Genet.. 2021
- Zhang AGong, Chen J. Empirical likelihood ratio test on quantiles under a density ratio model Electronic Journal of Statistics [Internet]. 2021 15: 6191-6227. URL: https://doi.org/10.1214/21-EJS1943
- Zhang Q, Chen J. Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures arXiv preprint arXiv:2107.01323. 2021
- Zhao T, Bouchard-Côté A. Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler Journal of Machine Learning Research. 2021 22: 1–41.
2020
- Boente G, Salibian-Barrera M, Vena P. Robust estimation for semi-functional linear regression models Computational Statistics and Data Science [Internet]. 2020 152: DOI: 10.1016/j.csda.2020.107041 URL: https://arxiv.org/abs/2006.16156 Software: https://github.com/msalibian/RobustFPLM