Probability as measure, convolutions, limit laws, conditional probability and expectation, law of large numbers and other selected topics.

PR/CR: A minimum grade of C is required unless otherwise indicated.
Prerequisite: consent of instructor.

Selected topics from recent developments in parametric and/or non-parametric statistical inference.

PR/CR: A minimum grade of C is required unless otherwise indicated.
Prerequisite: consent of instructor.

Inference concerning discrete distributions, analysis of categorical data, and other selected topics.

PR/CR: A minimum grade of C is required unless otherwise indicated.
Prerequisite: consent of instructor.

Theory of linear models, regression analysis, and analysis of variance.

PR/CR: A minimum grade of C is required unless otherwise indicated.
Prerequisite: consent of instructor.

Multivariate normal distribution, Hotelling's T2, Classification methods, principal components and canonical correlations.

PR/CR: A minimum grade of C is required unless otherwise indicated.
Prerequisite: consent of instructor.

A seminar course on new development in statistics.

Special advanced research topics in statistics.

Special advanced research topics in statistics.

The auto-correlation function and spectrum, various processes, model identification, estimation and forecasting.

PR/CR: A minimum grade of C is required unless otherwise indicated.
Prerequisite: consent of instructor.

Bayesian decision problems, priors, Jeffrey's Rule, robustness of posteriors, Bayesian justification of ANOVA.

PR/CR: A minimum grade of C is required unless otherwise indicated.
Prerequisite: consent of instructor.

The role of a statistics consultant. Practical consulting experience.

PR/CR: A minimum grade of C is required unless otherwise indicated.
Prerequisite: consent of department.

This course provides instruction in the use of a number of tools required for graduate level research in statistics. Topics include instruction in various software, such as LaTex, R, SAS, etc. as well as Library usage, presentation and communication skills.

This course will provide the student with practical experience in doing research in the statistical sciences. Students will be matched with a faculty advisor and carry out a research project. Deliverables include a final research report and a presentation to the department.

Special advanced research topics in statistics.

Special advanced research topics in statistics.