ST 474
Monte Carlo Methods
Lec A and Lab L1 selected
Simulating random numbers from various probability distributions; transformations of uniform variates; sampling from multivariate distributions; simulation of stochastic processes; (quasi-)Monte Carlo methods; variance reduction techniques. Applications may include: numerical integration of multivariate functions in high dimensions; approximation algorithms for solving matrix equations, partial differential equations and integral equations; pricing financial securities; MCMC methods; resampling techniques and other topics of computational statistics. <br> <br><font color="crimson">
Sections
Lecture
Lec A
Tue, Thu 13:00-14:20
Lab
Lab L1
Wed 8:30-9:50
Syllabus
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