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In Press
Campbell, T., Kulis, B. & How, J., In Press. Dynamic clustering algorithms via small-variance analysis of Markov chain mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence.
Lennox, R.J. et al., In Press. Optimizing marine spatial plans with animal tracking data. Canadian Journal of Fisheries and Aquatic Sciences.
Campbell, T. et al., In Press. Truncated random measures. Bernoulli.
2022
Isberg, S. & Welch, W.J., 2022. Adaptive Design and Analysis Via Partitioning Trees for Emulation of a Complex Computer Code. Journal of Computational and Graphical Statistics, pp.1-12. Available at: https://doi.org/10.1080/10618600.2022.2039160.
Fan, S., Wong, S.W.;K. & Zidek, J.V., 2022. Knots and their effect on the tensile strength of lumber. Journal of Quality Technology, p.Submitted.
Lee, T.Yoon, Zidek, J.V. & Heckman, N., 2022. Nondimensionalizing physical and statistical models: a unified approach. Statistical Science, p.Submitted.
2021
Zhao, T. & Bouchard-Côté, A., 2021. Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler. Journal of Machine Learning Research, 22, pp.1–41.
Wang, Y., Le, N.D. & Zidek, J.V., 2021. Approximately Optimal Subset Selection for Statistical Design and Modelling. Journal of Statistical Computation and Simulation, pp.1-13.
Bouchard-Côté, A. et al., 2021. Blang: Probabilitistic Programming for Combinatorial Spaces. Journal of Statistical Software, (Accepted).
Park, Y.P. & Kellis, M., 2021. CoCoA-diff: counterfactual inference for single-cell gene expression analysis. Genome Biol., 22, pp.1–23.
Chen, J. et al., 2021. Composite empirical likelihood for multisample clustered data. Journal of Nonparametric Statistics, 33, pp.60–81.
Chen, J. et al., 2021. Composite empirical likelihood for multisample clustered data. J Nonparametric Statistics, p.Accepted Apr 2021.
Zhang, A.Gong & Chen, J., 2021. Density ratio model with data-adaptive basis function. arXiv preprint arXiv:2103.03445.
Pan, S. et al., 2021. Ellipse Detection and Localization with Application to Knots in Sawn Lumber I. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).
Zhang, Q. & Chen, J., 2021. Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures. arXiv preprint arXiv:2107.01323.

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