Export 1625 results:
2020
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.
Zhang, Q. & Chen, J., 2020. A Unified Framework for Gaussian Mixture Reduction with Composite Transportation Distance. arXiv preprint arXiv:2002.08410.
Cooke, R.M., Joe, H. & Chang, B., 2020. Vine copula regression for observational studies. ASTA-Advances in Statistical Analysis, 104, pp.141-167.
2019
Wang, L., Wang, S. & Bouchard-Côté, A., 2019. An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics. Systematic Biology, 69, pp.155–183.
Wang, L., Wang, S. & Bouchard-Côté, A., 2019. An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics. Systematic Biology, (Accepted).
Chang, B. et al., 2019. AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. In International Conference on Learning Representations. International Conference on Learning Representations. Available at: https://openreview.net/forum?id=ryxepo0cFX.
Yang, C.-H., Zidek, J.V. & Wong, S.W.K., 2019. Bayesian analysis of accumulated damage models in lumber reliability. Technometrics, 61, pp.1-14.
Karim, M.E. et al., 2019. Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies. Statistical Methods in Medical Research, 28, pp.323-324 .
Chen, J. & Feng, Z., 2019. A discussion of ‘prior-based Bayesian information criterion’. Statistical Theory and Related Fields, pp.1–3.
Wong, S.W.K. & Zidek, J.V., 2019. The duration of load effect in lumber as stochastic degradation. IEEE Transactions on Reliability, pp.410-419.
Zolaktaf, S. et al., 2019. Efficient Parameter Estimation for DNA Kinetics Modeled as Continuous-Time Markov Chains. In The 25th International Conference on DNA Computing and Molecular Programming. The 25th International Conference on DNA Computing and Molecular Programming. pp. 80–99.
Deligiannidis, G., Bouchard-Côté, A. & Doucet, A., 2019. Exponential Ergodicity of the Bouncy Particle Sampler. Annals of Statistics, 47, pp.1268–1287.
Watson, J., V. Zidek, J. & Shaddick, G., 2019. A general theory for preferential sampling in environmental networks. Annals of Applied Statistics, pp.2662-2700.
Watson, J., Zidek, J.V. & Shaddick, G., 2019. A General Theory for Preferential Sampling in Environmental Networks. Annals of Applied Statistics, p.Accepted.

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