Export 1625 results:
2021
Sidrow, E. et al., 2021. Modelling multi-scale, state-switching functional data with hidden Markov models. Canadian Journal of Statistics, 50(1).
Syed, S. et al., 2021. Non-Reversible Parallel Tempering: a Scalable Highly Parallel MCMC Scheme. Journal of Royal Statistical Society, Series B, (Accepted).
Syed, S. et al., 2021. Parallel Tempering on Optimized Paths. In International Conference on Machine Learning (ICML). International Conference on Machine Learning (ICML).
Chen, J. et al., 2021. Permutation tests under a rotating sampling plan with clustered data. Journal of nonparametric statistics, 33, pp.60-81.
Martínez, A. & Salibian-Barrera, M., 2021. RBF: An R package to compute a robust backfitting estimator for additive models. The Journal of Open Source Software, 6(60).
Boix, C.A. et al., 2021. Regulatory genomic circuitry of human disease loci by integrative epigenomics. Nature, 590, pp.300–307.
Ju, X. & Salibian-Barrera, M., 2021. Robust Boosting for Regression Problems. Computational Statistics and Data Science, 153. Available at: https://arxiv.org/abs/2002.02054.
Boente, G. & Salibian-Barrera, M., 2021. Robust functional principal components for sparse longitudinal data. Metron.
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, p.To appear.
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.
Zhang, Q. & Chen, J., 2020. Distributed Learning of Finite Gaussian Mixtures. arXiv preprint arXiv:2010.10412.
Zhang, A.Gong, Zhu, G. & Chen, J., 2020. Empirical Likelihood Ratio Test on quantiles under a Density Ratio Model. arXiv preprint arXiv:2007.10586.
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.
Chen, J. et al., 2020. Permutation tests under a rotating sampling plan with clustered data. arXiv preprint arXiv:2004.13892.
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.

Pages