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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
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