@article{geyer-constrained,
     author = "Charles James Geyer",
      year  = "1991",
      title = "Constrained Maximum Likelihood Exemplified by Isotonic
              Convex Logistic Regression",
    journal = "Journal of the American Statistical Association",
     volume = "86",
      pages = "717--724",
        doi = "10.1080/01621459.1991.10475100",
}

@article{geyer-moller,
     author = "Charles James Geyer and Jesper M{\o}ller",
       year = "1994",
      title = "Simulation Procedures and Likelihood Inference
              for Spatial Point Processes",
    journal = "Scandinavian Journal of Statistics",
     volume = "21",
      pages = "359--373",
        url = "http://www.jstor.org/stable/4616323",
}

@article{geyer-constrained-asymptotics,
     author = "Charles James Geyer",
      TITLE = {On the asymptotics of constrained {$M$}-estimation},
    JOURNAL = {Annals of Statistics},
     VOLUME = {22},
       YEAR = {1994},
     NUMBER = {4},
      PAGES = {1993--2010},
        doi = "10.1214/aos/1176325768",
}

@article{geyer-gdor,
     author = "Charles James Geyer",
       YEAR = {2009},
      TITLE = {Likelihood inference in exponential families and directions of
               recession},
    JOURNAL = {Electronic Journal of Statistics},
     VOLUME = {3},
      PAGES = {259--289},
        DOI = {10.1214/08-EJS349},
}

@book{barndorff-nielsen,
     author = "Ole E. Barndorff-Nielsen",
       year = "1978",
      title = "Information and Exponential Families",
  publisher = "Wiley",
    address = "Chichester, England",
}

@misc{notes-5421-expfam-i,
     author = "Charles James Geyer",
       year = "2020",
      title = "Stat 5421 Lecture Notes: Exponential Families, {P}art {I}",
        url = "http://www.stat.umn.edu/geyer/5421/notes/expfam.pdf",
}

@misc{notes-5421-expfam-ii,
     author = "Charles James Geyer",
       year = "2023",
      title = "Stat 5421 Lecture Notes: Completion of Exponential Families",
        url = "http://www.stat.umn.edu/geyer/5421/notes/infinity.html",
}

@misc{notes-3701-mcmc-bayes,
     author = "Geyer, Charles James",
       year = "2020",
      title = "Stat 3701 Lecture Notes: Bayesian Inference via
               {M}arkov Chain {M}onte {C}arlo ({MCMC})",
        url = "http://www.stat.umn.edu/geyer/3701/notes/mcmc-bayes.html",
}

@article{fisher1922,
     author = "Ronald Aylmer Fisher",
       year = "1922",
      title = "On the mathematical foundations of theoretical statistics",
    journal = "Philosophical Transactions of the Royal Society of London,
                Series A",
     volume = "222",
      pages = "309--368",
}

@article{aster1,
     author = "Charles James Geyer and Stuart Wagenius and Ruth Geyer Shaw",
       year = "2007",
      title = "Aster Models for Life History Analysis",
    journal = "Biometrika",
     volume = "94",
      pages = "415--426",
        url = "https://doi.org/10.1093/biomet/asm030",
        doi = "10.1093/biomet/asm030",
}

@article{wald,
     author = {Abraham Wald},
       year = {1949},
      title = {Note on the Consistency of the Maximum Likelihood Estimate},
    journal = {Annals of Mathematical Statistics},
     volume = {20},
      pages = {595--601},
        URL = {http://www.jstor.org/stable/2236315},
}

@article{geyer-thompson,
    AUTHOR = {Charles James Geyer and Elizabeth Alison Thompson},
     TITLE = {Constrained {M}onte {C}arlo maximum likelihood for dependent
              data (with discussion)},
   JOURNAL = {Journal of the Royal Statistical Society, Series B},
    VOLUME = {54},
      YEAR = {1992},
     PAGES = {657--699},
       DOI = {10.1111/j.2517-6161.1992.tb01443.x},
}

@article{geyer-mcmcla,
     author = "Charles James Geyer",
       year = "1994",
      title = "On the Convergence of {M}onte {C}arlo Maximum Likelihood
               Calculations",
    journal = "Journal of the Royal Statistical Society, Series B",
     volume = "56",
      pages = "261--274",
        doi = "10.1111/j.2517-6161.1994.tb01976.x",
}

@misc{notes-8501-points,
     author = "Charles James Geyer",
       year = "2020",
      title = "Stat 8501 Lecture Notes: Spatial Point Processes",
        url = "http://www.stat.umn.edu/geyer/8501/points.pdf",
}

@misc{notes-8501-lattice,
     author = "Charles James Geyer",
       year = "2020",
      title = "Stat 8501 Lecture Notes: Spatial Lattice Processes",
        url = "http://www.stat.umn.edu/geyer/8501/lattice.pdf",
}

@misc{notes-5102,
     author = "Charles James Geyer",
       year = "2016",
      title = "Statistics 5102 (Geyer, Fall 2016) Slides",
        url = "http://www.stat.umn.edu/geyer/5102/slides/",
}

@misc{notes-8112-expfam,
     author = "Charles James Geyer",
       year = "2013",
      title = "Asymptotics of Exponential Families",
        url = "http://www.stat.umn.edu/geyer/8112/notes/expfam.pdf",
}

@incollection{geyer-no-n,
     author = "Charles James Geyer",
       year = "2013",
      title = "Asymptotics of Maximum Likelihood without the {LLN} or {CLT} or Sample Size Going to Infinity",
     editor = "G. L. Jones and X. Shen",
  booktitle = "Advances in Modern Statistical Theory and Applications: A Festschrift in honor of Morris L. Eaton",
  publisher = " Institute of Mathematical Statistics",
    address = "Hayward, CA",
      pages = "1-24",
        doi = "10.1214/12-IMSCOLL1001",
}

@book{rockafellar,
     AUTHOR = {Rockafellar, R. Tyrrell},
      TITLE = {Convex Analysis},
  PUBLISHER = {Princeton University Press},
    ADDRESS = {Princeton},
       YEAR = {1970},
}

@book{rockafellar-wets,
     AUTHOR = {Rockafellar, R. Tyrrell and Wets, Roger J.-B.},
      TITLE = {Variational Analysis},
  PUBLISHER = {Springer-Verlag},
    ADDRESS = {Berlin},
       YEAR = {1998},
       NOTE = {Corrected printings contain extensive changes.  We used
              the third corrected printing, 2010.},
}

@phdthesis{geyer-thesis,
     author = "Charles James Geyer",
       year =  {1990},
      title = {Likelihood and Exponential Families},
     school = {University of Washington},
        url = {http://purl.umn.edu/56330},
}

@article{aster3,
     author = "Ruth Geyer Shaw and Charles James Geyer",
       year = "2010",
      title = "Inferring Fitness Landscapes",
    journal = "Evolution",
     volume = "64",
      pages = "2510--2520",
        doi = "10.1111/j.1558-5646.2010.01010.x",
}

@misc{notes-8931-aster,
     author = "Charles James Geyer",
       year = "2018",
      title = "Statistics 8931 (Geyer, Fall 2018) Slides",
        url = "http://www.stat.umn.edu/geyer/8931aster/slides/",
}

@book{agresti,
     author = "Alan Agresti",
       year = "2013",
      title = "Categorical Data Analysis",
  publisher = "John Wiley & Sons",
    address = "Hoboken, NJ",
}

@article{aster1,
     author = "Charles James Geyer and Stuart Wagenius and Ruth Geyer Shaw",
       year = "2007",
      title = "Aster Models for Life History Analysis",
    journal = "Biometrika",
     volume = "94",
      pages = "415--426",
}

@manual{aster-package,
     author = "Charles James Geyer",
       year = "2021",
      title = "R package \texttt{aster}: Aster Models, version 1.1-2",
        url = "http://cran.r-project.org/package=aster",
}

@manual{rcdd-package,
     author = {Charles James Geyer and Glen D. Meeden and Komei Fukuda},
       year = {2021},
      title = {R package \texttt{rcdd}: Computational Geometry, version 1.4},
        url = "http://cran.r-project.org/package=rcdd",
}

@manual{llmdr-package,
     author = {Charles James Geyer},
       year = {2022},
      title = {R package \texttt{llmdr}: Log-Linear Models Done Right,
              version 0.1},
        url = "http://github.com/cjgeyer/llmdr/",
}

@manual{glmbb-package,
     author = {Charles James Geyer},
       year = {2020},
      title = {R package \texttt{glmbb}: All Hierarchical or Graphical
              Models for Generalized Linear Model, version 0.5-1},
        url = "http://cran.r-project.org/package=glmbb",
}

@Manual{clpapi-package,
     author = {Gabriel Gelius-Dietrich},
       year = {2021},
      title = {R package \texttt{clpAPI}: R Interface to C API of COIN-or Clp,
              version 1.3.1},
        url = {https://CRAN.R-project.org/package=clpAPI},
}

@Manual{glpkapi-package,
     author = {Gabriel Gelius-Dietrich},
       year = {2021},
      title = {R package \texttt{glpkAPI}: R Interface to C API of GLPK,
              version 1.3.3},
        url = {https://CRAN.R-project.org/package=glpkAPI},
}

@Manual{gmp-package,
     author = {Antoine Lucas and Immanuel Scholz and Rainer Boehme
              and Sylvain Jasson and Martin Maechler},
       year = {2021},
      title = {R package \texttt{gmp}: Multiple Precision Arithmetic,
              version 0.6-2.1},
        url = {https://CRAN.R-project.org/package=gmp},
}

@Manual{glmbb-package,
     author = {Charles James Geyer},
       year = {2020},
      title = {R package \texttt{glmbb}: All Hierarchical or Graphical Models
              for Generalized Linear Model, version 0.5-1},
        url = {https://CRAN.R-project.org/package=glmbb},
}

@Manual{alabama-package,
     author = {Ravi Varadhan},
       year = {2015},
      title = {R package \texttt{alabama}: Constrained Nonlinear Optimization,
              version 2015.3-1},
        url = {https://CRAN.R-project.org/package=alabama},
}

@Manual{numderiv-package,
     author = {Paul Gilbert and Ravi Varadhan},
       year = {2019},
      title = {R package \texttt{numDeriv}: Accurate Numerical Derivatives,
              version 2016.8-1.1},
        url = {https://CRAN.R-project.org/package=numDeriv},
}

@Manual{sfsmisc-package,
     author = {Martin Maechler},
       year = {2021},
      title = {R package \texttt{sfsmisc}: Utilities from 'Seminar fuer
              Statistik' {ETH} Zurich, version 1.1-12},
        url = {https://CRAN.R-project.org/package=sfsmisc},
}

@Book{mass-book,
     author = {W. N. Venables and B. D. Ripley},
       year = {2002},
      title = {Modern Applied Statistics with S},
    edition = {Fourth},
  publisher = {Springer},
    address = {New York},
        url = {https://www.stats.ox.ac.uk/pub/MASS4/},
       note = {This is the book that R package \texttt{MASS} implements
              computing for.}
}

@manual{mass-package,
     author = {W. N. Venables and B. D. Ripley},
       year = {2021},
      title = {R package \texttt{MASS}: Support Functions and Datasets
              for Venables and Ripley's {MASS}, version 7.3-54},
        url = {https://CRAN.R-project.org/package=MASS},
}

@manual{nnet-package,
     author = {W. N. Venables and B. D. Ripley},
       year = {2021},
      title = {R package \texttt{nnet}: Feed-Forward Neural Networks and
              Multinomial Log-Linear Models, version 7.3-16},
        url = {https://CRAN.R-project.org/package=nnet},
}

@manual{rmarkdown-package,
     author = {J. J. Allaire and Yihui Xie and Jonathan McPherson and
              Javier Luraschi and Kevin Ushey and Aron Atkins and
              Hadley Wickham and Joe Cheng and Winston Chang and
              Richard Iannone},
       year = {2021},
      title = {R package \texttt{rmarkdown}: Dynamic Documents for R,
              version 2.11},
        url = {https://rmarkdown.rstudio.com},
}

@book{rmarkdown-book,
     author = {Yihui Xie and J. J. Allaire and Garrett Grolemund},
       year = {2018},
      title = {R Markdown: The Definitive Guide},
  publisher = {Chapman and Hall/CRC},
        url = {https://bookdown.org/yihui/rmarkdown},
}

@book{rmarkdown-cookbook,
     author = {Yihui Xie and Christophe Dervieux and Emily Riederer},
       year = {2020},
      title = {R Markdown Cookbook},
  publisher = {Chapman and Hall/CRC},
        url = {https://bookdown.org/yihui/rmarkdown-cookbook},
}

@article{halmos-savage,
     author = "Paul R.  Halmos and Leonard J. Savage",
       year = "1949",
      title = "Application of the {R}adon-{N}ikodym theorem to the theory
              of sufficient statistics",
    journal = "Annals of Mathematical Statistics",
     volume = "20",
      pages = "225--241",
}

@article{neyman,
     author = "Jerzy Neyman",
       year = "1935",
      title = "Sur un teorema concernente le cosiddette statistiche
              sufficienti",
    journal = "Giornale dell'Istituto Italiano degli Attuari",
     volume = {6},
      pages = {320--334},
       note = {The title translates to "On a theorem concerning so-called
    sufficient statistics"},
}

@incollection{geyer-points,
    AUTHOR = {Charles James Geyer},
     TITLE = {Likelihood inference for spatial point processes},
 BOOKTITLE = {Stochastic Geometry: Likelihood and Computation},
    EDITOR = {O. E. Barndorff-Nielsen and W. S. Kendall and M. N. M. van Lieshout},
     PAGES = {79--140},
 PUBLISHER = {Chapman \& Hall/CRC},
   ADDRESS = {Boca Raton, FL},
      YEAR = {1999},
}

@book{agresti,
    author = {Agresti, Alan},
     title = {Categorical Data Analysis},
   edition = {third},
 publisher = {John Wiley and Sons},
   address = {Hoboken, NJ},
      year = {2013},
}

@article{geyer-condors,
    author = {Charles James Geyer and Oliver A. Ryder and L. G. Chemnick
             and Elizabeth Alison Thompson},
      year = {1993},
     title = {Analysis of relatedness in the {C}alifornia condors
             from DNA fingerprints},
   journal = {Molecular Biology and Evolution},
    volume = {10},
     pages = {571--589},
       doi = "10.1093/oxfordjournals.molbev.a040035",
}

@article{diaconis-ylvisaker,
    author = {Diaconis, P. and Ylvisaker, D.},
      year = {1979},
     title = {Conjugate priors for exponential families},
   journal = {Annals of Statistics},
    volume = {7},
     pages = {269--281},
}

@incollection{geyer-mcmc-intro,
    author = {Charles James Geyer},
      year = {2011},
     title = {Introduction to {MCMC}},
 booktitle = {Handbook of {M}arkov Chain {M}onte {C}arlo},
    editor = {S. P. Brooks and A. E. Gelman and G. L. Jones and X. L. Meng},
 publisher = {Chapman \& Hall/CRC},
   address = {Boca Raton},
     pages = {3--48},
       url = {https://www.mcmchandbook.net/HandbookChapter1.pdf},
}

@BOOK{brown,
     AUTHOR = {Lawrence D. Brown},
       YEAR = {1986},
      TITLE = {Fundamentals of Statistical Exponential Families with
               Applications in Statistical Decision Theory},
  PUBLISHER = {Institute of Mathematical Statistics},
    ADDRESS = {Hayward, CA},
}

@article{eck-geyer,
     author = {Daniel J. Eck and Charles James Geyer},
       year = {2021},
      title = {Computationally efficient likelihood inference in
              exponential families when the maximum likelihood estimator
              does not exist},
    journal = {Electronic Journal of Statistics},
     volume = {15},
      pages = {2105--2156}, 
        doi = {10.1214/21-EJS1815},
}

@article{kass-raftery,
     author = {Robert E. Kass and Adrian E. Raftery},
       year = {1995},
      title = {Bayes Factors},
    journal = {Journal of the American Statistical Association},
     volume = {90},
      pages = {773--795},
        doi = {10.1080/01621459.1995.10476572},
}

@article{raftery,
     author = {Adrian E. Raftery},
       year = {1986},
      title = {A Note on Bayes Factors for Log-Linear Contingency Table Models
              with Vague Prior Information},
    journal = {Journal of the Royal Statistical Society, Series B},
     volume = {48},
      pages = {249--250},
        doi = {10.1111/j.2517-6161.1986.tb01408.x},
}

@article{schwarz,
     author = {Gideon Schwarz},
       year = {1978},
      title = {Estimating the Dimension of a Model},
    journal = {Annals of Statistics},
     volume = {6},
      pages = {461--464},
        doi = {10.1214/aos/1176344136},
}

@article{cavanaugh-neath,
     author = {Joseph E. Cavanaugh and Andrew A. Neath},
       year = {1999},
      title = {Generalizing the derivation of the {Schwarz} information
              criterion},
    journal = {Communications in Statistics --- Theory and Methods},
     volume = {28},
      pages = {49-66},
        doi = {10.1080/03610929908832282},
}

@article{neath-cavanaugh,
     author = {Andrew A. Neath and Joseph E. Cavanaugh},
       year = {2012},
      title = {The {Bayesian} information criterion: background, derivation,
              and applications},
    journal = {WIREs Computational Statistics},
     volume = {4},
      pages = {199--203},
}