2 項進行中

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

加入行事曆

選擇訂閱 Google Calendar,或下載通用的 ICS 檔案。

使用 Google Calendar 時,Google 會收到這份課表的公開連結。

統計計算

Statistical Computing

學期
106-2
學分
0 學分
當期課號
5434
永久課號
IST5515
開課單位
統計學研究所
授課教師
黃冠華
校區
光復
類別
選修
上課時間表
週五
5
13:20–14:10
統計計算
A203(光復)
3 節連堂
6
14:20–15:10
7
15:30–16:20

* 根據陽明交大上課時間表所列

概述

This course will introduce topics in numerical analysis useful for statistical modeling and analysis. Topics include computer programming, random number generation, Monte Carlo simulation, permutation test and the bootstrap, numerical linear algebra, the EM algorithm, optimization, nonlinear regression, numerical integration, and Markov chain Monte Carlo.

先修科目

Students are expected to have background on undergraduate probability, and mathematical statistics. Computer programming knowledge on R/S-Plus/Matlab and/or C/C++ is required.

備註

無備註

教學方式

Class website: http://ghuang.stat.nctu.edu.tw/course/statcomp18/

評分方式

There will be homework assignments almost every week. The course grade will be based on about 12 homework assignments (65%), one midterm exam (15%), and one final exam (20%).

課程大綱
  • Introduction to statistical computing, R

    MASS: Chapters 1-4, The R manuals: http://cran.r-project.org/manuals.html, SCR: Chapter 1

  • Introduction to LATEX, Linux

    LaTeX documentation: http://latex-project.org/guides/, Linux introduction (Chinese): http://linux.vbird.org/

  • Random number generation

    NAS: Chapter 22, MASS: Section 5.2, SCR: Chapter 3

  • Monte Carlo methods in inference

    SCR: Section 5.2, Chapter 6

  • Bootstrap, jackknife and permutation tests

    NAS: Chapter 24, SCR: Chapters 7 and 8

  • Numerical linear algebra

    NAS: Chapters 7, 8 and 9

  • Optimization: Newton-Raphson, Fisher scoring

    NAS: Chapter 14 SCR: Sections 11.4, 11.5 and 11.6

  • Nonlinear regression, iteratively reweighted least squares

    NAS: Sections 14.6 and 14.7

  • EM algorithm

    NAS: Chapter 13, SCR: Section 11.7

  • Numerical integration

    NAS: Chapter 18, SCR: Section 11.3

  • Constrained optimization

    NAS: Chapters 11 and 16, SCR: Section 11.8

  • Markov chain Monte Carlo I

    NAS: Chapters 25 and 26, SCR: Chapter 9

  • Markov chain Monte Carlo II

    NAS: Chapters 25 and 26, SCR: Chapter 9

週次計畫

教師未提供此項資料

教科書

Handouts corresponding to each lecture will be available on the class website before each class. Reading assignments are from the following three books: Lange K (2010). Numerical Analysis for Statisticians, 2nd edition. Springer. (NAS) Venables WN and Ripley BD (2002). Modern Applied Statistics with S, 4th edition. Springer. (MASS) Rizzo ML (2007). Statistical Computing with R. Chapman & Hall. (SCR)

Office Hours
地點
423 Joint Education Hall
時間
By appointment
聯絡方式
Phone: 03-513-1334 Email: ghuang@stat.nctu.edu.tw