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2012
Boente, G., Ruiz, M. & Zamar, R.H., 2012. Bandwidth choice for robust nonparametric scale function estimation. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 56, pp.1594-1608.
Xia, M. & Gustafson, P., 2012. A Bayesian method for estimating prevalence in the presence of a hidden sub-population. Statistics in Medicine, 31, pp.2386–2398.
Bouchard-Côté, A. & Kirkpatrick, B., 2012. Bayesian pedigree analysis using measure factorization. In Advances in Neural Information Processing Systems 25 (NIPS). Advances in Neural Information Processing Systems 25 (NIPS). pp. 2906–2914.
Gustafson, P., 2012. On the behaviour of Bayesian credible intervals in partially identified models. Electronic Journal of Statistics, 6, pp.2107-2124. Available at: projecteuclid.org/euclid.ejs/1351865119.
Joe, H., 2012. Book Review of ``Inequalities: Theory of Majorization and Its Applications, by AW Marshall, I. Olkin and BC Arnold, Springer". Probability in the Engineering and Informational Sciences, 26, pp.449–453.
Zidek, J.V., Le, N.D. & Liu, Z., 2012. Combining data and simulated data for space–time fields: application to ozone. Environmental and ecological statistics, 19, pp.37–56.
Mostafavi, S. & Morris, Q., 2012. Combining many interaction networks to predict gene function and analyze gene lists. PROTEOMICS, 12, pp.1687-1696.
Chen, H., Chen, J. & Chen, S.-Y., 2012. Confidence intervals for the mean of a population containing many zero values under unequal probability sampling 511: Y. Quality Control and Applied Statistics, 57, p.77.
van Eeden, C. & Zidek, J.V., 2012. Contemporary Developments in Bayesian Analysis and Statistical Decision Theory: A Festschrift for William E. Strawderman. In M. D. E. Forurndrinier & Rukhin, A. L. , eds. Institute of Mathematical Statistics Collections, pp. 131-153.
Liu, J. & Gustafson, P., 2012. On the detectability of different forms of interaction in regression models. Metrika, 75, pp.347–365.
Gustafson, P., 2012. Double-robust estimators: slightly more Bayesian than meets the eye?. The international journal of biostatistics, 8, pp.1–15.
Gustafson, P., 2012. Double-robust estimators: Slightly more Bayesian than meets the eye?. International Journal of Biostatistics, 8, p.issue 2, article 4.
Bornn, L. & Zidek, J.V., 2012. Efficient stabilization of crop yield prediction in the Canadian Prairies. Agricultural and forest meteorology, 152, pp.223–232.
Jun, S.-H., Wang, L. & Bouchard-Côté, A., 2012. Entangled Monte Carlo. In Advances in Neural Information Processing Systems 25 (NIPS). Advances in Neural Information Processing Systems 25 (NIPS). pp. 2735–2743.
Chen, J. & Chen, Z., 2012. Extended BIC for small-n-large-P sparse GLM. Statistica Sinica, 22, p.555.
McDonald, D.J., 2012. Generalization error bounds for state-space models. Carnegie Mellon University.
Stinchcombe, J.R. et al., 2012. Genetics and evolution of function-valued traits: understanding environmentally responsive phenotypes. Trends Ecol. Evol. (Amst.), 27, pp.637–647.
Wang, L. & Bouchard-Côté, A., 2012. Harnessing Non-Local Evolutionary Events for Tree Inference. In Society for Molecular Biology and Evolution. Society for Molecular Biology and Evolution.
Yuan, Y., Chipman, H.A. & Welch, W.J., 2012. Harvesting Classification Trees for Drug Discovery. Journal of chemical information and modeling, 52, pp.3169–3180. Available at: http://pubs.acs.org/doi/abs/10.1021/ci3000216.
McCandless, L.C. et al., 2012. Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding. Statistics in Medicine, 31, pp.383–396.
Park, Y. & Bader, J.S., 2012. How networks change with time. Bioinformatics, 28, pp.i40–8.

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