Export 1625 results:
2018
Gomulkiewicz, R. et al., 2018. Variation and evolution of function-valued traits. Annual Review of Ecology, Evolution, and Systematics, 49(1).
Gustafson, P. & McCandless, L.C., 2018. When Is a Sensitivity Parameter Exactly That?. Statistical Science, 33, pp.86–95.
2017
Högg, T. et al., 2017. Bayesian analysis of pair-matched case-control studies subject to outcome misclassification. Statistics in Medicine, 36, pp.4196-4213.
Högg, T. et al., 2017. Bayesian analysis of pair-matched case-control studies subject to outcome misclassification. Statistics in medicine, 36, pp.4196–4213.
Bouchard-Côté, A., Vollmer, S.J. & Doucet, A., 2017. The Bouncy Particle Sampler: A non-reversible rejection-free Markov chain Monte Carlo method. Journal of the American Statistical Association, (Accepted).
McCandless, L.C. & Gustafson, P., 2017. A comparison of Bayesian and Monte Carlo sensitivity analysis for unmeasured confounding. Statistics in medicine, 36, pp.2887–2901.
Campbell, H. & Gustafson, P., 2017. Conditional Equivalence Testing: an alternative remedy for publication bias. arXiv preprint arXiv:1710.01771.
Chen, J., 2017. Consistency of the MLE under mixture models. Statistical Science, 32, pp.47–63.
Krupskii, P., 2017. Copula-based measures of reflection and permutation asymmetry and statistical tests. Statistical Papers, 58(4), pp.1165-1187.
Tomal, J.H., Welch, W.J. & Zamar, R.H., 2017. Discussion of Random-Projection Ensemble Classification by T. I. Cannings and R. J. Samworth. Journal of the Royal Statistical Society B, 79, pp.1024-1025. Available at: http://dx.doi.org/10.1111/rssb.12228.
Lindsten, F. et al., 2017. Divide-and-conquer with sequential Monte Carlo. Journal of Computational Statistics and Graphics, 26, pp.445–458.
Lindsten, F. et al., 2017. Divide-and-conquer with sequential Monte Carlo. Journal of Computational Statistics and Graphics, 26, pp.445–458.
Straub, J. et al., 2017. Efficient global point cloud alignment using Bayesian nonparametric mixtures. In IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition.
Nolde, N. & Ziegel, J., 2017. Elicitability and backtesting: Perspectives for banking regulation. The Annals of Applied Statistics, 11, p.1833--1874.
Deligiannidis, G., Bouchard-Côté, A. & Doucet, A., 2017. Exponential ergodicity of the Bouncy Particle Sampler. arXiv, 1705.04579.

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