George Washington University, Department of Statistics, Statistical Computing use R
供大家参考。压缩包包括所有的~为了方便大家选择性的学习，我也上传的单独每一次的课件。

This course will introduce basic computational methods
for statistical computing
 Fundamentals of computer science
 Numerical methods
 Statistical computing methods

What’s expected from this course
 Understand basic computer processes
 Perform numerical procedures
 Conduct statistical computing


a. Introduction
b. Some linear algebra
c. Numerical methods in optimization
• One-dimensional optimization
o Bisection search
o Golden section search
• Multi-dimensional optimization
o Newton-Raphson algorithm
o Newton’s methods for solving nonlinear equations
o Nonlinear Gauss-Seidel Iteration
d. Computing derivatives (Gauss-Seidel iteration, Newton's Method)
d2. Open formulas
e. Generating pseudo-random numbers
e1-e3. Generating pseudo-random numbers
f1-f2. EM algorithm
g.Bootstrap
h. Permutation methods
i. Parametric bootstrap and other
j. Some additional topics