**Last updated:** 2022-04-26

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**Knit directory:** `fiveMinuteStats/analysis/`

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Rmd | 6bb4560 | stephens999 | 2016-05-12 | add gibbs sampling example |

Rmd | a72861e | stephens999 | 2016-05-02 | add integral |

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Rmd | 8466ce3 | stephens999 | 2016-05-02 | add gibbs sampling example |

Rmd | 47f75ca | stephens999 | 2016-04-20 | add BF and p value comparison |

Rmd | c5e07f5 | Xiao Nan | 2016-04-13 | add shiny conjugate normal app link to index |

Rmd | ed83285 | jhmarcus | 2016-04-07 | added popgen section to index and wright_fisher tutorials |

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Rmd | 106d322 | mbonakda | 2016-02-24 | add new notes to index |

Rmd | 294d219 | stephens999 | 2016-02-16 | add normal markov chain example |

Rmd | be2da01 | stephens999 | 2016-02-15 | add multivariate normal |

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Rmd | 4335247 | mbonakda | 2016-01-23 | fix index typo |

Rmd | 9d4269b | mbonakda | 2016-01-23 | add simulating discrete chains to index |

Rmd | b0339a9 | stephens999 | 2016-01-19 | update index |

Rmd | 9156677 | stephens999 | 2016-01-19 | add multiclass example |

Rmd | ff6b857 | mbonakda | 2016-01-12 | add asymptotic normality of MLE and wilks |

Rmd | 3ee2cf4 | stephens999 | 2016-01-12 | add likelihood function |

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Rmd | 8b7278d | stephens999 | 2016-01-11 | add LR for continuous data |

Rmd | 93476ef | stephens999 | 2016-01-07 | update LR to make clear it is for discrete data |

Rmd | 8f61232 | stephens999 | 2016-01-07 | add simple LR example |

Rmd | f1b8c7c | stephens999 | 2016-01-05 | add likelihood and loglikelihood |

Rmd | 90df5f8 | stephens999 | 2016-01-05 | tidy up material related to ashlar by removing much of it |

Rmd | d3c8f4e | jhsiao999 | 2015-12-12 | fix typo |

Rmd | 10bba89 | jhsiao999 | 2015-12-12 | add tutorial |

Rmd | 99f4499 | jhsiao999 | 2015-12-12 | add a Rmarkdown example |

Rmd | 1b891a0 | jhsiao999 | 2015-12-12 | first commit |

- Bayesian inference for comparing two fully-specified models
- Bayesian inference for comparing multiple fully-specified models
- Bayesian inference for a continuous parameter: analytic calculation
- Bayesian inference for a continuous parameter: summarizing the posterior
- Bayesian inference for a continuous parameter: conjugacy
- Bayesian inference for a normal mean
- Bayesian inference for a normal mean (shiny app illustration)
- Bayesian inference for multiple independent parameters

- Discrete-Time Markov Chains: Introduction
- Discrete-Time Markov Chains: Finding the Stationary Distribution via solution of the global balance equations
- Discrete-Time Markov Chains: Finding the Stationary Distribution via eigendecomposition
- Simulating Discrete-Time Markov Chains: An Introduction
- Simulating Discrete-Time Markov Chains: Limiting Distributions

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