Export 1677 results:
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.
Dean, C.B. et al., 2022. Canadian contributions to environmetrics. Canadian Journal of Statistics, n/a. Available at: https://onlinelibrary.wiley.com/doi/abs/10.1002/cjs.11743.
He, M. & Chen, J., 2022. Consistency of the MLE under two-parameter mixture models with a structural scale parameter. Advances in Data Analysis and Classification, 16, pp.125-154. Available at: http://doi.org/10.1007/s11634-021-00472-5.
Zhang, A.Gong & Chen, Jand, 2022. Density ratio model with data-adaptive basis function. Journal of Multivariate Analysis, 191.
Zhang, Q. & Chen, J., 2022. Distributed learning of finite Gaussian mixtures. Journal of Machine Learning Research, 23, pp.1-40. Available at: \urlhttp://jmlr.org/papers/v23/21-0093.html.
Cramer, E.Y. et al., 2022. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences, 119, p.e2113561119. Available at: https://www.pnas.org/doi/abs/10.1073/pnas.2113561119.
Chen, J. et al., 2022. Permutation tests under a rotating sampling plan with clustered data. Ann. Appl. Statist., 16, pp.936-958.
Chen, J. et al., 2022. Permutation tests under a rotating sampling plan with clustered data. The Annals of Applied Statistics, 16, pp.936–958.
Ding, L., Zentner, G.E. & McDonald, D.J., 2022. Sufficient principal component regression for genomics. Bioinformatics Advances, 2, p.vbac033. Available at: https://doi.org/10.1093/bioadv/vbac033.
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).
McDonald, D.J. et al., 2021. Can Auxiliary Indicators Improve COVID-19 Forecasting and Hotspot Prediction?. Proceedings of the National Academy of Sciences, 118, p.e2111453118. Available at: https://doi.org/10.1073/pnas.2111453118.
Park, Y.P. & Kellis, M., 2021. CoCoA-diff: counterfactual inference for single-cell gene expression analysis. Genome Biol., 22, pp.1–23.

Pages