Research Interests

Model uncertainty and choice in prediction and variable selection problems for linear, generalized linear models and multivariate models. Bayesian Model Averaging. Prior distributions for model selection and model averaging. Wavelets and adaptive kernel non-parametric function estimation. Spatial statistics. Experimental design for nonlinear models. Applications in proteomics, bioinformatics, astro-statistics, air pollution and health effects, and environmental sciences.

Keywords:

Model Uncertainty, Model Choice, Bayesian Models, Nonparametric Regression, Wavelets, Experimental Design, Spatial Statistics

Recent Publications

1. House, L. and Clyde, M. and Huang,Y-C., Bayesian Identification of Differential Gene Expression Induced by Metals in Human Bronchial Epithelial Cells, Bayesisan Analysis, vol. 1 no. 1 (2005), pp. 105-120 [pdf].
2. Liang, F. and Paulo, R. and Molina, G. and Clyde, M. and Berger, J.O., Mixtures of g-priors for Bayesian Variable Selection, ISDS Discussion Paper, vol. 05-12 (Preprint, 2005) [pdf] [abs].
3. Clyde, M. and Littman, Bayesian Adaptive Sampling for Bayesian Variable Selection (Preprint, 2004).
4. Merlise Clyde and E. I. George, Model Uncertainty, Statistical Science, vol. 19 (2004), pp. 81--94 [pdf].
5. Clyde, Merlise, Discussion of "Frequentist and Bayesian Multiple Testing" by C. Genoviese and L. Wasserman, in Bayesian Statistics 7 -- Proceedings of the Seventh Valencia International Meeting, edited by J. M. Bernardo and M. Bayarri and J. O. Berger and A. P. Dawid and D. Heckerman and A. F. M. Smith and M. West (2003), Oxford Univ. Press.