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2017
de Souza, C.P.E., Heckman, N.E. & Xu, F., 2017. Switching nonparametric regression models for multi-curve data. Canadian Journal of Statistics, 45, pp.442–460. Available at: http://dx.doi.org/10.1002/cjs.11331.
2014
Brechmann, E.C. & Joe, H., 2014. Parsimonious parameterization of correlation matrices using truncated vines and factor analysis. Computational Statistics & Data Analysis, 77, pp.233-251.
de Souza, C.P.E. & Heckman, N.E., 2014. Switching nonparametric regression models. JOURNAL OF NONPARAMETRIC STATISTICS, 26, pp.617-637.
2012
Danilov, M., Yohai, V.J. & Zamar, R.H., 2012. Robust Estimation of Multivariate Location and Scatter in the Presence of Missing Data. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 107, pp.1178-1186.
2010
Yan, G., Welch, W.J. & Zamar, R.H., 2010. Model-based linear clustering. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 38, pp.716-737.
2000
WU, L.A.N.G., Reeves, J. & Perlman, M.D., 2000. Some model-restricted shrinkage estimators for contingency tables with missing data. Metrika, 50, pp.221–245. Available at: http://link.springer.com/article/10.1007/s001840050047.