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. (1990).
- Likelihood and Exponential Families.
- PhD thesis, University of Washington.
- https://hdl.handle.net/11299/56330.
- 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.
- Haslett, J. and Haslett, S. J.
- The three basic types of residuals for a linear model.
- International Statistical Review, 75, 1–24.
- DOI: 10.1111/j.1751-5823.2006.00001.x.
- 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. (2011).
- Parameter estimation in social network models.
- PhD thesis, University of Minnesota.
- http://hdl.handle.net/11299/108208.
- 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.
- Okabayashi, S., Johnson, L. and Geyer, C. J. (2011).
- Extending pseudo-likelihood for Potts models.
- Statistica Sinica, 21, 331–347.
- https://www.jstor.org/stable/24309274.
- 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. and Geyer, C. J. (2010).
- Inferring fitness landscapes.
- Evolution, 64, 2510–2520.
- DOI: 10.1111/j.1558-5646.2010.01010.x.
- 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.
- Sung, Y. J. and Geyer, C. J. (2007).
- Monte Carlo likelihood inference for missing data models.
- Annals of Statistics, 35, 990–1011.
- DOI: 10.1214/009053606000001389.
- https://github.com/cjgeyer/bernor.
- 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. (2013).
- Stat 8112 Lecture Notes.
- Asymptotics of Exponential Families.
- http://www.stat.umn.edu/geyer/8112/notes/expfam.pdf.
- Geyer, C. J. (2013).
- Stat 8112 Lecture Notes.
- Weak Convergence in Metric Spaces.
- http://www.stat.umn.edu/geyer/8112/notes/metric.pdf.
- Geyer, C. J. (2016).
- Stat 8931 Lecture Notes.
- The Eggplant that Ate Chicago (the Notes that Got out of Hand).
- convex.pdf
- Geyer, C. J. (2016).
- Stat 8931 Lecture Notes:
- Aster Models.
- aster.pdf.
- Geyer, C. J. (2016).
- Statistics 5102 (Geyer, Fall 2016) Examples:
- Coverage of Confidence Intervals.
- http://www.stat.umn.edu/geyer/5102/examp/coverage.html.
- Geyer, C. J. (2020).
- Statistics 8112 (Geyer, Spring 2012) Lecture Notes:
- The Wilks, Wald, and Rao Tests.
- https://www.stat.umn.edu/geyer/8112/notes/tests.pdf.
- Geyer, C. J. (2022).
- Stat 8501 Lecture Notes:
- Spatial Lattice Processes.
- http://www.stat.umn.edu/geyer/8501/lattice.pdf.
- Geyer, C. J. (2022).
- Stat 8501 Lecture Notes:
- Spatial Point Processes.
- http://www.stat.umn.edu/geyer/8501/points.pdf.
- Geyer, C. J. (2023).
- Stat 5421 Lecture Notes.
- Exponential Families.
- https://www.stat.umn.edu/geyer/5421/notes/expfam.html
- Geyer, C. J. (2023).
- Stat 5421 Lecture Notes.
- Completion of Exponential Families.
- https://www.stat.umn.edu/geyer/5421/notes/infinity.html
R Packages
- Baddeley, A., Turner, R., and Rubak, E. (2023).
- R package
spatstat
: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests, version 3.0-7. - http://cran.r-project.org/package=spatstat.
- Geyer, C. J. (2021).
- R package
fuzzyRankTests
: Fuzzy Rank Tests and Confidence Intervals, version 0.4. - https://cran.r-project.org/package=fuzzyRankTests.
- Geyer C. J. (2022).
- R package
llmdr
: Log-Linear Models Done Right, version 0.1. - https://github.umn.edu/geyer/llmdr.
- Geyer C. J. (2023).
- R package
aster
: Aster Models, version 1.1-3. - https://CRAN.R-project.org/package=aster.
- Geyer, C. J. and Johnson, L. T. (2022).
- R package
potts
: Potts Models, version 0.5-11. - https://cran.r-project.org/package=potts.
- Geyer, C. J. and Johnson, L. T. (2023).
- R package
mcmc
: Markov Chain Monte Carlo, version 0.9-8. - https://cran.r-project.org/package=mcmc.
- Geyer C. J. and Meeden G. D. (2017).
- R package
ump
: Uniformly Most Powerful Tests, version 0.5-8. - https://CRAN.R-project.org/package=ump.
- Geyer, C. J., Meeden, G. D., and Fukuda, K. (2023).
- R package
rcdd
: C Double Description for R, version 1.6. - https://cran.r-project.org/package=rcdd.
- 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