Syllabus

My schedule

Homework list

382 book

R stuff
A longer R intro

Book website

Week | M | W | F |

1 | 1.1 - 1.6 Probability review Hw1 | Probability review: conditional | Probability review Hw2 |

2 | 2: Random Variables | RV continued: transformations, CDF, joint distributions | RV continued |

3 | Labor Day | 3: Expected values | Expected values Hw3 |

4 | Expected values: MGFs | Chebyshev inequality and Ch.5 | 5: Convergence of RVs Hw4 |

5 | Ch.5: Theorem 5.5; Proof of CLT | Ch.5: S^2, proof of LLN | Ch.5: Delta method Hw5 |

6 | Estimates, T-distribution handout | Properties of estimates: Ch.6 | Ch.7: empirical CDF |

7 | Ch 7: plug-in estimates | Review key | Midterm Exam key |

8 | Ch 8: bootstrap (See R demo 8 under R stuff) | Ch.9: MOM Hw6 | 49ers holiday |

9 | Ch 9: Max. Likelihood | Ch.9: MLE properties | Ch.9: Fisher information Hw7 |

Maintained by Oleg Makhnin (olegm att nmt edu)