Selecting likelihood weights by cross-validation

Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions (with discussion). <i>J. Roy. Statist. Soc. Ser. B</i> <b>36</b> 111–147.

Tibshirani, R. and Hastie, T. (1987). Local likelihood estimation. <i>J. Amer. Statist. Assoc.</i> <b>82</b> 559–567.

Breiman, L. and Friedman, J. H. (1997). Predicting multivariate responses in multiple linear regression (with discussion). <i>J. Roy. Statist. Soc. Ser. B</i> <b>59</b> 3–54.

Burnett, R. and Krewski, D. (1994). Air pollution effects on hospital admission rates: A random effects modelling approach. <i>Canad. J. Statist.</i> <b>22</b> 441–458.

Cheeseman, P. and Stutz, J. (1996). Bayesian classification (AutoClass): Theory and results. In <i>Advances in Knowledge Discovery and Data Mining</i> (U. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy, eds.) 153–180. AAAI Press, Menlo Park, CA.

Copas, J. B. (1995). Local likelihood based on kernel censoring. <i>J. Roy. Statist. Soc. Ser. B</i> <b>57</b> 221–235.

Eguchi, S. and Copas, J. (1998). A class of local likelihood methods and near-parametric asymptotics. <i>J. R. Stat. Soc. Ser. B Stat. Methodol.</i> <b>60</b> 709–724.

Fraley, C. and Raftery, A. (1998). How many clusters? Which clustering method? Answers via model based cluster analysis. <i>The Computer Journal</i> <b>41</b> 578–588.

Geisser, S. (1975). The predictive sample reuse method with applications. <i>J. Amer. Statist. Assoc.</i> <b>70</b> 320–328.

Ghosh, M., Natarajan, K., Waller, L. A. and Kim, D. (1999). Hierarchical Bayes GLMs for the analysis of spatial data: An application to disease mapping. <i>J. Statist. Plann. Inference</i> <b>75</b> 305–318.

Hu, F. (1997). The asymptotic properties of the maximum-relevance weighted likelihood estimators. <i>Canad. J. Statist.</i> <b>25</b> 45–59.

Hu, F. and Rosenberger, W. F. (2000). Analysis of time trends in adaptive designs with application to a neurophysiology experiment. <i>Statistics in Medicine</i> <b>19</b> 2067–2075.

Hu, F. and Zidek, J. V. (1995). Incorporating relevant sample information using the likelihood. Technical Report 161, Dept. Statistics, Univ. British Columbia.

Hu, F. and Zidek, J. V. (2001). The relevance weighted likelihood with applications. <i>Empirical Bayes and Likelihood Inference</i>. <i>Lecture Notes in Statist.</i> <b>148</b> 211–235. Springer, New York.

Hu, F. and Zidek, J. V. (2002). The weighted likelihood. <i>Canad. J. Statist.</i> <b>30</b> 347–371.

Hunsberger, S. (1994). Semiparametric regression in likelihood-based models. <i>J. Amer. Statist. Assoc.</i> <b>89</b> 1354–1365.

Manton, K. G., Woodbury, M. A., Stallard, E., Riggan, W. B., Creason, J. P. and Pellom, A. C. (1989). Empirical Bayes procedures for stabilizing maps of U.S. cancer mortality rates. <i>J. Amer. Statist. Assoc.</i> <b>84</b> 637–650.

Smith, R. L. (1999). Bayesian and frequentist approaches to parametric predictive inference. In <i>Bayesian Statistics 6</i> (J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith, eds.) 589–612. Oxford Univ. Press.

Wang, X. (2001). Maximum weighted likelihood estimation. Ph.D. dissertation, Dept. Statistics, Univ. British Columbia.

Wang, X., van Eeden, C. and Zidek, J. V. (2004). Asymptotic properties of maximum weighted likelihood estimators. <i>J. Statist. Plann. Inference</i> <b>119</b> 37–54.

Zidek, J. V., White, R. and Le, N. D. (1998). Using spatial data in assessing the association between air pollution episodes and respiratory morbidity. In <i>Statistics for the Environment</i> <b>4</b>. <i>Pollution Assessment and Control</i> (V. Barnett, A. Stein and K. F. Turkman, eds.) 117–136. Wiley, New York.