Merlise Clyde

Professor of Statistical Science

External address: 
214A Old Chem Bldg, Box 90251, Durham, NC 27708
Internal office address: 
Duke Box 90251, Durham, NC 27708-0251
Phone: 
(919) 681-8440
Office Hours: 
See individual course pages for office hours associated with courses.

Overview

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.

Education & Training

  • Ph.D., University of Minnesota, Twin Cities 1993

  • M.S., University of California at Riverside 1988

  • M.S., University of Alberta (Canada) 1986

  • B.S., Oregon State University 1985

Models for Consortium Level Analysis of GxE Interaction in Complex Disease awarded by National Institutes of Health (Co-Principal Investigator). 2012 to 2015

Advances in Bayesian Model Choice awarded by National Science Foundation (Principal Investigator). 2011 to 2015

Bayesian Modeling and Optimal Design for Studies of Gene-Environment Association awarded by National Institutes of Health (Co Investigator). 2007 to 2011

Multimodality Word-Finding in Neurosurgical Language Mapping awarded by National Institutes of Health (Statistician). 2007 to 2011

Collaborative Research: Adaptive Experimental Design for Astronomical Exploration awarded by National Science Foundation (Principal Investigator). 2005 to 2010

Large Scale Model Averaging and Model Selection awarded by National Science Foundation (Principal Investigator). 2004 to 2007

SCREMS: Distributed Environments for Stochastic Computation awarded by National Science Foundation (Principal Investigator). 2004 to 2007

Spatial-temporal Models for Environmental Health Effects awarded by Environmental Protection Agency (Principal Investigator). 2001 to 2006

(98-0024) Model Uncertainty, Model Selection, and Robustness with Application in Environmental Science awarded by National Science Foundation (Principal Investigator). 1998 to 2004

Model Uncertainty in Health Effect Studies of Particulate Matter awarded by Environmental Protection Agency (Principal Investigator). 1999 to 2001

Pages

Serafini, S, Clyde, MA, Husain, AM, and Haglund, MM. "Brain Mapping and Monitoring." Practical Epilepsy. Ed. AM Husain. Demos Medical Publishing, LLC, 2015. 192-199. (Chapter)

Clyde, MA. "Experimental Design: Bayesian Designs." International Encyclopedia of Social and Behavioral Sciences. Ed. JD Wright. Science Direct, 2015. 521-526. (Chapter) Full Text

Clyde, MA, and Iversen, ES. "Bayesian Model Averaging in the M-Open Framework." Bayesian Theory and Applications. Ed. P Damien, P Dellaportas, NG Polson, and DA Stephens. Oxford University Press, 2013. 484-498. (Chapter) Full Text Open Access Copy

Clyde, MA, and Wolpert, RL. "Discussion of ``Polson and Scott: Shrink globally, act locally: Sparse Bayesian regularization and prediction''." Bayesian Statistics 9. Ed. JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, AFM Smith, and M West. Oxford University Press, 2011. 528-529.

Clyde, MA, and Wolpert, RL. "Nonparametric Function Estimation using Overcomplete Dictionaries (with Discussion)." Bayesian Statistics 8. Ed. JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, AFM Smith, and M West. Oxford University Press, 2007. 91-114.

Clyde, MA, House, L, and Wolpert, RL. "Nonparametric Models for Proteomic Peak Identification and Quantification." Bayesian Inference for Gene Expression and Proteomics. Ed. K-A Do, P Müller, and M Vannucci. Cambridge University Press, 2006. 293-308. (Chapter)

Clyde, M, House, L, and Wolpert, RL. "Nonparametric Models for Proteomic Peak Identification and Quantification." Bayesian Inference for Gene Expression and Proteomics. Ed. KA Do, P Muller, and M Vannucci. Cambridge University Press, 2006. 293-308. (Chapter) Full Text

Clyde, M. "Model Averaging." Subjective and Objective Bayesian Statistics: Principles, Models, and Applications. Ed. SJ Press. John Wiley & Sons, 2003. (Chapter)

Clyde, M. "Invited discussion of "Bayesian and Frequentist Multiple Testing, by C. Genovese and L. Wasserman"." Bayesian Statistics 7. Ed. JM Bernardo, MJ Bayarri, AP Dawid, JO Berger, D Heckerman, AFM Smith, and M West. Oxford University Press, 2003. 157-160. (Chapter)

Clyde, MA. "Experimental Design: Bayesian Designs." International Encyclopedia of the Social and Behavioral Sciences. Ed. NJ Smelser and PB Baltes. New York, NY: Science Direct, 2001. 5075-5081. (Chapter) Full Text

Pages

Clyde, MA, Palmieri Weber, R, Iversen, ES, Poole, EM, Doherty, JA, Goodman, MT, Ness, RB, Risch, HA, Rossing, MA, Terry, KL, Wentzensen, N, Whittemore, AS, Anton-Culver, H, Bandera, EV, Berchuck, A, Carney, ME, Cramer, DW, Cunningham, JM, Cushing-Haugen, KL, Edwards, RP, Fridley, BL, Goode, EL, Lurie, G, McGuire, V, Modugno, F, Moysich, KB, Olson, SH, Pearce, CL, Pike, MC, Rothstein, JH, Sellers, TA, Sieh, W, Stram, D, Thompson, PJ, Vierkant, RA, Wicklund, KG, Wu, AH, Ziogas, A, and Tworoger, SS et al. "Risk Prediction for Epithelial Ovarian Cancer in 11 United States-Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci." American journal of epidemiology 184.8 (October 3, 2016): 579-589. Open Access Copy

Chou, ND, Serafini, S, Grant, GA, Clyde, M, Komisarow, J, and Muh, CR. "127 Multimodality Word-Finding Distinctions in Pediatric Cortical Stimulation Mapping." Neurosurgery 63 Suppl 1 (August 2016): 152-. Full Text

Chou, ND, Serafini, S, Grant, GA, Clyde, M, Komisarow, J, and Muh, CR. "127 Multimodality Word-Finding Distinctions in Pediatric Cortical Stimulation Mapping." Neurosurgery 63.CN_suppl_1 (August 2016): 152-.

Iversen, ES, Lipton, G, Clyde, MA, and Monteiro, ANA. "Functional Annotation Signatures of Disease Susceptibility Loci Improve SNP Association Analysis." BMC Genomics 15 (2014): 398-398. Full Text Open Access Copy

Serafini, S, Clyde, MA, Tolson, M, and Haglund, MM. "Multimodality word-finding distinctions in cortical stimulation mapping." Neurosurgery 73.1 (2013): 36-47. Full Text

Loredo, TJ, Berger, JO, Chernoff, DF, Clyde, MA, and Liu, B. "Bayesian methods for analysis and adaptive scheduling of exoplanet observations." Statistical Methodology 9.1-2 (2012): 101-114. Full Text

Wolpert, RL, Clyde, MA, and Tu, C. "Stochastic expansions using continuous dictionaries: Lévy adaptive regression kernels." Annals of Statistics 39.4 (2011): 1916-1962. Full Text Open Access Copy

Clyde, MA, Ghosh, J, and Littman, ML. "Bayesian adaptive sampling for variable selection and model averaging." Journal of Computational and Graphical Statistics 20.1 (2011): 80-101. Full Text

Pages

Clyde, MA, Weber, RP, Ness, R, and Schildkraut, J. "RISK PREDICTION FOR OVARIAN CANCER: EPIDEMIOLOGIC RISK FACTORS PLUS CONFIRMED GENETIC LOCI." October 2016.

Clyde, MA, DeSimone, H, and Parmigiani, G. "A Comparison of Algorithms for Sampling Models." Joint Statistics Meetings. 1994.