## Introduction to ProbabilityDeveloped from celebrated Harvard statistics lectures, The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use |

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### Contents

1 | |

Chapter 2 Conditional probability | 41 |

Chapter 3 Random variables and their distributions | 91 |

Chapter 4 Expectation | 137 |

Chapter 5 Continuous random variables | 195 |

Chapter 6 Moments | 243 |

Chapter 7 Joint distributions | 277 |

Chapter 8 Transformations | 339 |

Chapter 11 Markov chains | 459 |

Chapter 12 Markov chain Monte Carlo | 495 |

Chapter 13 Poisson processes | 519 |

Appendix A Math | 541 |

Appendix B R | 561 |

Appendix C Table of distributions | 567 |

569 | |

Back Cover | 571 |