Course Code |
MATE 6615 |
---|---|

Course Title |
Bayesian Statistics and Decision Theory. |

Credits |
3 |

Hours |
3 per week |

Prerequisites |
MATH 6601 |

Description |
Elements of statistical decisions. Frequentist and Bayesian decision theory. Bayesian analysis: estimation, hypothesis testing, model selection, informative and non-informative priors. Approximations and Bayesian computations. Markov Chain Monte Carlo Methods. Introduction to Hierarchical Linear, Dynamic Linear, and Generalized Linear Models. |

Additional Information |