[1] Muller, D.W. and Sawitzki, G. (1991) Excess Mass Estimates and Tests for Multimodality. Journal of the American Statistical Association, 86, 738-746.
[2] Scott, D.W. (1992) Multivariate Density Estimation: Theory, Practice and Visualization. Wiley, New York.
http://dx.doi.org/10.1002/9780470316849
[3] Friedman, J.H. and Fisher, N.I. (1999) Bump Hunting in High-Dimensional Data. Statistics and Computing, 9, 123-143.
http://dx.doi.org/10.1023/A:1008894516817
[4] Chaudhuri, P. and Marron, J.S. (1999) Sizer for Exploration of Structures in Curves. Journal of the American Statistical Association, 94, 807-823. http://dx.doi.org/10.1080/01621459.1999.10474186
[5] Fisher, N.I. and Marron, J.S. (2001) Mode Testing via the Excess Mass Estimate. Biometrika, 88, 499-517.
http://dx.doi.org/10.1093/biomet/88.2.499
[6] Davies, P.L. and Kovac, A. (2004) Densities, Spectral Densities and Modality. Annals of Statistics, 32, 1093-1136.
[7] Hall, P., Minnotte, M.C. and Zhang, C. (2004) Bump Hunting with Non-Gaussian Kernels. Annals of Statistics, 32, 2124-2141. http://dx.doi.org/10.1214/009053604000000715
[8] Ray, S. and Lindsay, B.G. (2005) The Topography of Multivariate Normal Mixtures. Annals of Statistics, 33, 2042-2065. http://dx.doi.org/10.1214/009053605000000417
[9] Yao, W. and Lindsay, B.G. (2009) Bayesian Mixture Labeling by Highest Posterior Density. Journal of American Statistical Association, 104, 758-767. http://dx.doi.org/10.1198/jasa.2009.0237
[10] Yao, W. and Li, L. (2013) A New Regression Model: Modal Linear Regression. Scandinavian Journal of Statistics, 41, 656-671. http://dx.doi.org/10.1111/sjos.12054
[11] Lee, M.J. (1989) Mode Regression. Journal of Econometrics, 42, 337-349.
http://dx.doi.org/10.1016/0304-4076(89)90057-2
[12] Yao, W., Lindsay, B. and Li, R. (2012) Local Modal Regression. Journal of Nonparametric Statistics, 24, 647-663.
http://dx.doi.org/10.1080/10485252.2012.678848
[13] Yu, K. and Aristodemou, K. (2012) Bayesian Mode Regression. Technical Report. arXiv: 1208.0579v1.
[14] Zhao, W.H., Zhang, R.Q., Liu, Y.K. and Liu, J.C. (2014) Empirical Likelihood Based Modal Regression. Statistical Papers.
[15] Thomas, D.R. and Grunkemeier, G.L. (1975) Confidence Interval Estimation of Survival Interval Estimation of Survival Probabilities for Censored Data. Journal of the American Statistical Association, 70, 865-871.
http://dx.doi.org/10.1080/01621459.1975.10480315
[16] Owen, A. (2001) Empirical Likelihood. Chapman and Hall, New York. ,
http://dx.doi.org/10.1201/9781420036152
[17] Zhu, H.T., Ibrahim, J.G., Tang, N.S. and Zhang, H.P. (2008) Diagnostic Measures for Empirical Likelihood of Generalized Estimating Equations. Biometrika, 95, 489-507. http://dx.doi.org/10.1093/biomet/asm094
[18] Xue, L.G. and Zhu, L.X. (2010) Empirical Likelihood in Nonparametric and Semiparametric Models. Science Press, Beijing.
[19] Cook, R.D. and Weisberg, S. (1982) Residuals and Influence in Regression. Chapman and Hall, New York.
[20] Wei, B.C., Lu, G.B. and Shi, J.Q. (1990) Statistical Diagnostics. Publishing House of Southeast University, Nanjing.