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Charles J. Geyer

Affiliations: 
University of Minnesota, Twin Cities, Minneapolis, MN 
Area:
Statistics
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"Charles Geyer"
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Children

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Donghoh Kim grad student 2000 UMN
Katherine Y. Barnes grad student 2003 UMN
Yun J. Sung grad student 2003 UMN
Yu-Min Huang grad student 2005 UMN
Bernardo B. Andrade grad student 2007 UMN
Seongho Wu grad student 2008 UMN
Leif T. Johnson grad student 2011 UMN
Saisuke Okabayashi grad student 2011 UMN
Brad S. Price grad student 2014 UMN

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Publications

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Eck DJ, Geyer CJ, Cook RD. (2020) Combining envelope methodology and aster models for variance reduction in life history analyses Journal of Statistical Planning and Inference. 205: 283-292
Price BS, Geyer CJ, Rothman AJ. (2019) Automatic Response Category Combination in Multinomial Logistic Regression Journal of Computational and Graphical Statistics. 28: 758-766
Eck DJ, Shaw RG, Geyer CJ, et al. (2015) An integrated analysis of phenotypic selection on insect body size and development time. Evolution; International Journal of Organic Evolution. 69: 2525-32
Geyer C, Andrade BBd. (2015) Near equivalence on metric spaces and a nonstandard central limit theorem Journal of Logic and Analysis. 7: 1-20
Price BS, Geyer CJ, Rothman AJ. (2015) Ridge Fusion in Statistical Learning Journal of Computational and Graphical Statistics. 24: 439-454
Geyer C, Meeden G. (2013) Asymptotics for Constrained Dirichlet Distributions Bayesian Analysis. 8: 89-110
Johnson LT, Geyer CJ. (2013) Correction: Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm Annals of Statistics. 41: 2698-2698
Geyer CJ, Ridley CE, Latta RG, et al. (2013) Local adaptation and genetic effects on fitness: Calculations for exponential family models with random effects Annals of Applied Statistics. 7: 1778-1795
Johnson LT, Geyer CJ. (2012) Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm Annals of Statistics. 40: 3050-3076
Okabayashi S, Geyer CJ. (2012) Long range search for maximum likelihood in exponential families Electronic Journal of Statistics. 6: 123-147
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