Papers, Books, Technical Reports, PhD Theses

  • Barndorff-Nielsen, O. (1978).
  • Information and Exponential Families.
  • Wiley, Chichester, UK.
  • Brown, L. D. (1986).
  • Fundamentals of Statistical Exponential Families: with Applications in Statistical Decision Theory.
  • Institute of Mathematical Statistics, Hayward, CA.
  • Diaconis, P. and Ylvisaker, D. (1979).
  • Conjugate priors for exponential families.
  • Annals of Statistics, 7, 269–281.
  • DOI: 10.1214/aos/1176344611.
  • Eck, D. J. and Geyer, C. J. (2021).
  • Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist.
  • Electronic Journal of Statistics, 15, 2105–2156.
  • DOI: 10.1214/21-EJS1815.
  • Geyer, C. J. (1991).
  • Constrained maximum likelihood exemplified by isotonic convex logistic regression.
  • Journal of the American Statistical Association, 86, 717–724.
  • DOI: 10.1080/01621459.1991.10475100.
  • Geyer, C. J. (1994).
  • On the asymptotics of constrained M-estimation.
  • Annals of Statistics, 22, 1993–2010.
  • DOI: 10.1214/aos/1176325768.
  • Geyer, C. J. (1994).
  • On the convergence of Monte Carlo maximum likelihood calculations.
  • Journal of the Royal Statistical Society, Series B, 56, 261–274.
  • DOI: 10.1111/j.2517-6161.1994.tb01976.x.
  • Geyer, C. J. (1995).
  • Likelihood ratio tests and inequality contraints.
  • Technical Report No. 610. School of Statistics, University of Minnesota.
  • https://hdl.handle.net/11299/199633.
  • Geyer, C. J. (1999).
  • Likelihood inference for spatial point processes.
  • In Stochastic Geometry: Likelihood and Computation (eds O. E. Barndorff-Nielsen, W. S. Kendall, and M. N. M. van Lieshout), pp. 79–140.
  • Chapman & Hall/CRC, Boca Raton, FL.
  • Geyer, C. J. (2009).
  • Likelihood inference in exponential families and directions of recession.
  • Electronic Journal of Statistics, 3, 259–289.
  • DOI: 10.1214/08-EJS349.
  • Geyer, C. J. (2010).
  • A Philosophical Look at Aster Models.
  • Technical Report No. 676. School of Statistics, University of Minnesota.
  • http://hdl.handle.net/11299/57163.
  • Geyer, C. J. (2013).
  • Asymptotics of maximum likelihood without the LLN or CLT or sample size going to infinity. In Advances in Modern Statistical Theory and Applications: A Festschrift in Honor of Morris L. Eaton (eds G. L. Jones and X. Shen), pp. 1–24.
  • Institute of Mathematical Statistics, Hayward, CA.
  • DOI: 10.1214/12-IMSCOLL1001.
  • Geyer, C. J. and Meeden, G. D. (2005).
  • Fuzzy and Randomized Confidence Intervals and P-values (with discussion).
  • Statistical Science, 20, 358–387.
  • DOI: 10.1214/088342305000000340.
  • Geyer, C. J. and Møller, J. (1994).
  • Simulation procedures and likelihood inference for spatial point processes.
  • Scandinavian Journal of Statistics, 21, 359–373.
  • http://www.jstor.org/stable/4616323.
  • Geyer, C. J., Ridley, C. E., Latta, R. G., Etterson, J. R and Shaw, R. G. (2013).
  • Local adaptation and genetic effects on fitness: Calculations for exponential family models with random effects.
  • Annals of Applied Statistics, 7, 1778–1795.
  • DOI: 10.1214/13-AOAS653.
  • Geyer, C. J. and Thompson, E. A. (1992).
  • Constrained Monte Carlo maximum likelihood for dependent data, (with discussion).
  • Journal of the Royal Statistical Society, Series B, 54, 657–699.
  • DOI: 10.1111/j.2517-6161.1992.tb01443.x.
  • Geyer, C. J., Wagenius, S. and Shaw, R. G. (2007).
  • Aster models for life history analysis.
  • Biometrika, 94, 415–426.
  • DOI: 10.1093/biomet/asm030.
  • Huang, Y. (2005).
  • Hypothesis tests with multiple linear inequality constraints.
  • PhD thesis, University of Minnesota.
  • This was before they put U of M theses in the Digital Conservancy. A paper copy is in Walter Library.
  • Hunter, D. R., Handcock, M. S., Butts, C. T., Goodreau, S. M., and Morris, M. (2008).
  • R package ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks.
  • Journal of Statistical Software, 24, Issue 3, 1–28.
  • DOI. 10.18637/jss.v024.i03.
  • Okabayashi, S. and Geyer, C. J. (2012).
  • Long range search for maximum likelihood in exponential families.
  • Electronic Journal of Statistics, 6, 123–147.
  • DOI: 10.1214/11-EJS664.
  • Self, S. G., and Liang, K.-Y. (1987).
  • Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions.
  • Journal of the American Statistical Association, 82, 605–610.
  • DOI: 10.1080/01621459.1987.10478472.
  • Shaw, F. H. and Geyer, C. J. (1997).
  • Estimation and testing in constrained covariance component models.
  • Biometrika, 84, 95–102.
  • DOI: 10.1093/biomet/84.1.95.
  • Shaw, R. G., Geyer, C. J., Wagenius, S., Hangelbroek, H. H., and Etterson, J. R. (2008).
  • Unifying life history analysis for inference of fitness and population growth.
  • American Naturalist, 172, E35–E47.
  • DOI: 10.1086/588063.
  • Thompson, E. A. and Geyer, C. J. (2007).
  • Fuzzy p-values in latent variable problems.
  • Biometrika, 94, 49–60.
  • DOI: 10.1093/biomet/asm001.

Course Notes

  • Geyer, C. J. (2016).
  • Stat 8931 Lecture Notes:
  • Aster Models.
  • aster.pdf.

R Packages

  • Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., Krivitsky, P. N., and Morris, M. (2023).
  • R package ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks, version 4.6.0.
  • http://cran.r-project.org/package=ergm