Advanced Computational Inference
Numerical maximization and integration, resampling methods, EM algorithm, Markov Chain Monte Carlo methods.
Numerical maximization and integration, resampling methods, EM algorithm, Markov Chain Monte Carlo methods.
Supervised reading and discussion of a selected research topic. May be repeated to a maximum of nine credits.
Supervised reading and discussion of a selected research topic. May be repeated to a maximum of nine credits.
Supervised reading and discussion of a selected research topic. May be repeated to a maximum of nine credits.
Supervised reading and discussion of a selected research topic. May be repeated to a maximum of nine credits.
Half-time to full-time work on thesis. May be repeated to a maximum of six semesters.
Half-time to full-time work on dissertation. May be repeated to a maximum of six semesters.
Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.
May be repeated to a maximum of 12 hours.
May be repeated indefinitely.