References
===========

Model conventions
-------------------

* N. Ishtiaque and S. Chakroborty, *An exact spacetime polymer gas for
  finite-temperature Z_N homological quantum code*, working draft. The
  mathematical pages state the package's conventions explicitly; reference
  attribution does not certify every claim in that draft.
* L. Onsager, *Crystal Statistics. I. A Two-Dimensional Model with an
  Order-Disorder Transition*, Physical Review 65, 117--149 (1944),
  `doi:10.1103/PhysRev.65.117 <https://doi.org/10.1103/PhysRev.65.117>`_.
* K. Binder, *Finite Size Scaling Analysis of Ising Model Block Distribution
  Functions*, Physical Review Letters 47, 693--696 (1981),
  `doi:10.1103/PhysRevLett.47.693 <https://doi.org/10.1103/PhysRevLett.47.693>`_.

Sampling and diagnostics
-------------------------

* W. K. Hastings, *Monte Carlo sampling methods using Markov chains and their
  applications*, Biometrika 57, 97--109 (1970),
  `doi:10.1093/biomet/57.1.97 <https://doi.org/10.1093/biomet/57.1.97>`_.
* U. Wolff, *Collective Monte Carlo Updating for Spin Systems*, Physical Review
  Letters 62, 361--364 (1989),
  `doi:10.1103/PhysRevLett.62.361 <https://doi.org/10.1103/PhysRevLett.62.361>`_.
* A. Vehtari, A. Gelman, D. Simpson, B. Carpenter and P.-C. Buerkner,
  *Rank-normalization, folding, and localization: An improved Rhat for assessing
  convergence of MCMC*, `arXiv:1903.08008 <https://arxiv.org/abs/1903.08008>`_
  and Bayesian Analysis (2021).
* Stan, `Posterior analysis reference manual
  <https://mc-stan.org/docs/reference-manual/analysis.html>`_, and the
  `posterior convergence implementation
  <https://github.com/stan-dev/posterior/blob/master/R/convergence.R>`_.
  The package's exact numerical choices and unresolved-case behavior are
  described in the maintainer statistics chapter; they are not an automatic
  adoption of a scientific acceptance threshold.
* NumPy, `PCG64 reference
  <https://numpy.org/doc/stable/reference/random/bit_generators/pcg64.html>`_
  and `SeedSequence reference
  <https://numpy.org/doc/stable/reference/random/bit_generators/generated/numpy.random.SeedSequence.html>`_.

Documentation tools
---------------------

* Sphinx, `autodoc
  <https://www.sphinx-doc.org/en/master/usage/extensions/autodoc.html>`_
  and `SVG mathematics support
  <https://www.sphinx-doc.org/en/master/usage/extensions/math.html>`_.
  Build commands and version requirements are in the maintainer documentation
  chapter.