Welcome to Poisson Approval’s documentation!
Contents:
- Poisson Approval
- Getting Started
- Tutorials
- Notebooks for our article
- Ordinal Equilibria: Condorcet Consistency of Approval Voting (4.1, C.1)
- Dynamic Process: Base Case (5.2.1, 5.2.4, 5.3, C.8, C.9)
- Dynamic Process: Condorcet Profiles (5.2.1, 5.2.2, C.6)
- Dynamic Process: Non-Condorcet Profiles (5.2.1, C.6)
- Dynamic Process: Single-Peaked Profiles (C.1)
- Dynamic Process: With Some Expressive Voters (C.7)
- Dynamic Process: With Some Expressive Voters and a CW (5.4)
- Dynamic Process: Robustness to the Belief Updating Parameter (C.2)
- Dynamic Process: Robustness to the Belief Updating Parameter (with CW) (C.2)
- Dynamic Process: Robustness to the Share of Updating Voters (C.2)
- Dynamic Process: Robustness to the Share of Updating Voters (with CW) (C.2)
- Dynamic Process: Robustness to the Distribution of Preference Intensities (C.3)
- Dynamic Process: Robustness to the Initial Poll (C.4)
- Divided Preferences: Approval (5.2.3)
- Divided Preferences: Plurality (5.2.3)
- Divided Preferences: Anti-Plurality (C.5)
- Discussion of the Equilibrium Concept (6)
- A (difficult) example (B.4)
- The Bad Apple example (C.5.2)
- Confidence Intervals (C.10)
- Reference
- Contributing
- Credits
- History
- 0.31.0 (2022-06-16): Stability of Equilibria
- 0.30.0 (2022-01-24): Equilibrium Properties in Monte Carlo Fictitious Play
- 0.29.3 (2022-01-18): Patch test for latest release of SymPy
- 0.29.2 (2021-02-16): Notebook on Robustness to the Initial Poll
- 0.29.1 (2021-02-16): Notebook on Confidence Intervals
- 0.29.0 (2021-02-15): Monte-Carlo Fictitious Play
- 0.28.0 (2020-12-11): Plurality and Anti-Plurality Welfare
- 0.27.1 (2020-11-26): Use GitHub actions
- 0.27.0 (2020-11-11): Analysis tools
- 0.26.0 (2020-06-26): Descriptive Statistics of the Ballots
- 0.25.1 (2020-06-25): Welfare of a Candidate
- 0.24.0 (2020-03-29): Plots for Convergence Frequency
- 0.23.0 (2020-03-29): Improve Iterated Voting and Fictitious Play
- 0.22.0 (2020-03-22): Binary Plots
- 0.21.0 (2020-03-12): Iterables and Random Factories
- 0.20.0 (2020-03-03): Symbolic Computation
- 0.19.0 (2020-02-27): Mixed Strategies
- 0.18.0 (2020-02-26): Improved Ternary Plots
- 0.17.0 (2020-02-24): Analyzed Strategies
- 0.16.1 (2020-02-24): More Flexible Initialization of ProfileNoisyDiscrete
- 0.16.0 (2020-02-22): ProfileNoisyDiscrete
- 0.15.0 (2020-02-20): Weak Orders
- 0.14.0 (2020-02-16): Flexible Initialization of Iterated Voting / Fictitious Play
- 0.13.0 (2020-02-16): Ternary Plots
- 0.12.0 (2020-02-09): GeneratorProfileHistogramSinglePeakedUniform
- 0.11.0 (2020-02-09): Winning frequencies in iterated voting / fictitious play
- 0.10.0 (2020-02-09): ProfileDiscrete.analyzed_strategies
- 0.9.0 (2020-02-09): Plurality and Anti-plurality
- 0.8.1 (2020-02-04): Better Handling of Edge Cases in BestResponse
- 0.8.0 (2020-01-30): Fanatic voters
- 0.7.0 (2020-01-30): ProfileDiscrete
- 0.6.0 (2020-01-29): Fictitious Play
- 0.5.1 (2020-01-18): Configure Codecov and Improve Coverage
- 0.5.0 (2020-01-11): Sincere Voting and Progressive Update in Iterated Voting
- 0.4.0 (2020-01-08): Add
image_distribution - 0.3.0 (2020-01-08): New Random Generators
- 0.2.1 (2020-01-05): Fix Deployment on PyPI
- 0.2.0 (2020-01-05): Add Tutorials + Various Minor Improvements
- 0.1.1 (2019-12-24): Convert all the Documentation to NumPy Format
- 0.1.0 (2019-12-20): First release on PyPI