Export 1656 results:
2021
Park, Y. et al., 2021. Single-cell deconvolution of 3,000 post-mortem brain samples for eQTL and GWAS dissection in mental disorders. Cold Spring Harbor Laboratory, p.2021.01.21.426000.
Chen, J. et al., 2021. Test for homogeneity with unordered paired observations. Electronic Journal of Statistics, 15, pp.1661–1694.
2020
Wang, Y., Le, N.D. & Zidek, J.V., 2020. Approximately Optimal Spatial Design: How Good is it?. Spatial Statistics, 37, p.100409.
McDonald, D.J., 2020. Book Review: Sufficient Dimension Reduction: Methods and Applications with R. Journal of the American Statistical Association, 115. Available at: https://doi.org/10.1080/01621459.2020.1759990.
Homrighausen, D. & McDonald, D.J., 2020. Compressed and penalized linear regression. Journal of Computational and Graphical Statistics, 29, pp.309–322. Available at: https://doi.org/10.1080/10618600.2019.1660179.
Chang, B. & Joe, H., 2020. Copula diagnostics for asymmetries and conditional dependence. Journal of Applied Statistics, 47, pp.1587-1615.
Watson, J., 2020. CV.
Lee, T.Yoon, Zidek, J.V. & Heckman, N., 2020. Dimensional Analysis in Statistical Modelling. Statistical Science, p.Submitted.
Krupskii, P. & Joe, H., 2020. Flexible copula models with dynamic dependence and application to financial data. Econometrics and Statistics, 16, pp.148-167.
Chen, J., Li, P. & Liu, G., 2020. Homogeneity testing under finite location-scale mixtures. Canadian Journal of Statistics, 48, pp.670–684.
Boente, G., Salibian-Barrera, M. & Vena, P., 2020. Robust estimation for semi-functional linear regression models. Computational Statistics and Data Science, 152. Available at: https://arxiv.org/abs/2006.16156.
Sadatsafavi, M. et al., 2020. Should the number of acute exacerbations in the previous year be used to guide treatments in COPD? . European Journal of Epidemiology, 35, p.To appear.
Zhu, P., Bouchard-Côté, A. & Campbell, T., 2020. Slice Sampling for General Completely Random Measures. In Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI). Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI). pp. 699–708.
Yang, Z. & Chen, J., 2020. Small area mean estimation after effect clustering. Journal of Applied Statistics, 47, pp.602–623.
Thomas, M.L. et al., 2020. Spatio-temporal downscaling for continental scale estimation of air pollution concentrations. Journal of the Royal Statistical Society: Series C, p.Submitted.
Yu, X., Li, S. & Chen, J., 2020. A three-parameter logistic regression model. Statistical Theory and Related Fields, pp.1–10.
Cooke, R.M., Joe, H. & Chang, B., 2020. Vine copula regression for observational studies. ASTA-Advances in Statistical Analysis, 104, pp.141-167.
2019
Khodadadi, A. & McDonald, D.J., 2019. Algorithms for Estimating Trends in Global Temperature Volatility. In P. V. Hentenryck & Zhou, Z. - H. , eds. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Association for the Advancement of Artificial Intelligence. Available at: https://doi.org/10.1609/aaai.v33i01.3301614.
Wang, L., Wang, S. & Bouchard-Côté, A., 2019. An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics. Systematic Biology, (Accepted).
Wang, L., Wang, S. & Bouchard-Côté, A., 2019. An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics. Systematic Biology, 69, pp.155–183.

Pages