2005-06 - Office of the Registrar - Duke University

Bayesian learning, forecasting, and smoothing. Mathematical structure of DLMs and related
models. Intervention, forecast monitoring, and control. Structural change in time series.
Multiprocess models and mixture analysis. Multivariate models, constrained and aggregate
forecasting, and forecast combination. Applications using computer software. Other topics,
including spectral analysis, as time permits. Prerequisite: Statistics 215 or equivalent.
Instructor: West. 3 units.
357. Stochastic Processes. Conditional probabilities and Radon-Nikodym derivatives of
measures; tightness and weak convergence of probability measures, measurability and
observability. Markov chains, Brownian motion, Poisson processes. Gaussian processes,
birth-and-death processes, and an introduction to continuous-time martingales. Prerequisite:
Statistics 205 (or Mathematics 290) and Statistics 215 (or Mathematics 136.) Instructor:
Wolpert. 3 units.
376. Advanced Modeling and Scientific Computing. An introduction to advanced
statistical modeling and modern numerical methods useful in implementing statistical
procedures for data analysis, model exploration, inference, and prediction. Topics include
simulation techniques for maximization and integration. Prerequisite: Computer Science
221 or equivalent. Instructor: West. 3 units.
386. Noncooperative Game Theory. 3 units. C-L: see Economics 315; also C-L: Political
Science 315
390. Statistical Consulting Workshop. Under faculty supervision, students address and
solve consulting problems submitted to ISDS's campus-wide consulting program, and
present their solutions to the class. May be taken more than once. Consent of instructor
required. Instructor: Staff. 1 unit.
395. Readings in Statistical Science. Advanced seminar on topics at research frontiers in
statistical sciences. Consent of instructor required. Instructor: Staff. Variable credit.
COURSES CURRENTLY UNSCHEDULED
203S. Senior Seminar in Statistics
241. Environmental Experimental Design
245. Introduction to Multivariate Statistics
246. Experimental Design
282. Optimization Methods
297. Topics in Probability Theory
333. Sequential Statistical Analysis
345. Multivariate Statistical Analysis
346. Experimental Design and Optimization
University Program in Structural Biology and Biophysics
Associate Professor Oas, Director (biochemistry); Professor Beese, Director of Graduate
Studies (biochemistry); Professors Beratan (chemistry), Erickson (cell biology), Hammes
(biochemistry); Hellinga (biochemistry), Hsieh (biochemistry), McIntosh (cell biology),
Palmer (chemistry), D. Richardson and J. Richardson (biochemistry), Shaw (chemistry), J.
Simon (chemistry), S. Simon (neurobiology), Spicer (biochemistry), Toone (chemistry),
and Yang (chemistry); Associate Professors Fitzgerald (Chemistry), Van Dongen
(pharmacology and cancer biology), and York (pharmacology and cancer biology);
Assistant Professors Gewirth (biochemistry), Rudolph (biochemistry), and Zhou
(biochemistry)
The program in structural biology and biophysics at Duke centers on those research
endeavors that use physical measurements to study biological macromolecules and their
interactions, where the details of molecular structure are critical to understanding the
biological problem in question. The focus is on understanding molecular structure/function
at atomic resolution; the breadth extends to detecting molecular events and describing
274 Courses and Academic Programs