Statistical Computing with R (Fall 16)

Graduate course

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  • Summer 18 - MAA NREUP
  • Summer 19 - MAA NREUP

Welcome:

  • Syllabus

Slides:
  • Set 1: Intro to R
  • Set 2: Probability and Statistics
  • Set 3: Simulation
  • Set 4: Simulation – Stochastic Processes
  • Set 5: Monte Carlo Integration and Variance Reduction
  • Set 6: Monte Carlo Methods in Statistical Inference
  • Set 7: Resampling - Bootstrap and Jackknife
  • Set 8: Markov Chain Monte Carlo (MCMC)
Homework:

  • HW1
  • HW2
  • HW3
  • HW4
  • HW5
  • HW6

Exams:

  • Midterm

Please send me any questions or corrections to my email: tamer.oraby(@)utrgv(.)edu