Problem Sets

• Computational Statistics - SIUe - STAT 575 - Problem Set 2

  This problem set covers the E-M algorithm for right-censored normal data with known variance.

• SIUe - Computational Statistics (STAT 575) - Problem Set 4

  This problem set covers sampling from a Gamma distribution using Metropolis-Hastings and acceptance-rejection methods.

• Computational Statistics - SIUe - STAT 575 - Exam 1

  This exam covers accept-reject algorithms, the EM algorithm, and the MLE of a truncated normal distribution.

• Computational Statistics - SIUe - STAT 575 - Exam 1

  This exam covers numerical integration, Monte Carlo simulation, acceptance-rejection sampling, importance sampling, and the Metropolis-Hastings algorithm.

• Computational Statistics - SIUe - STAT 575 - Problem Set 3

  This problem set covers numerical integration, Riemann sums, Gauss-Hermite quadrature, Monte Carlo simulation, and Gaussian mixture models.

• Computational Statistics - SIUe - STAT 575 - Problem Set 1

  This problem set contains solutions to problems involving Newton’s method, the secant method, Poisson regression, and various sampling techniques.