- Spring 2023
Meeting Time:
MWF 9:30am - 10:20am
Location:
CMU 120
SLN:
16951
Joint Sections:
STAT 396 A
Instructor:
Catalog Description:
Finite Markov chains; stationary distributions; time reversals; classification of states; classical Markov chains; convergence in total variation distance and L2; spectral analysis; relaxation time; Monte Carlo techniques: rejection sampling, Metropolis-Hastings, Gibbs sampler, Glauber dynamics, hill climb and simulated annealing; harmonic functions and martingales for Markov chains. Prerequisite: a minimum grade of 2.0 in MATH 208; and either a minimum grade of 2.0 in MATH 394/STAT 394 and STAT 395/MATH 395, or a minimum grade of 2.0 in STAT 340 and STAT 341, or a minimum grade of 2.0 in STAT 340 and STAT 395/MATH 395. Offered: jointly with STAT 396; Sp.
GE Requirements:
Natural Sciences (NSc)
Credits:
3.0
Status:
Active
Last updated:
October 19, 2023 - 11:25pm