John Emerson

John Emerson's picture
Associate Prof Statistics (Adj) & Director of Graduate Studies
Address: 
24 Hillhouse Ave, New Haven, CT 06511-6814, Room B6 & B6a
203-432-0638
Research Interests: 
Bayesian methods, Bioinformatics, Statistical Computing, Classification, and Graphical methods.

Courses

STAT 230a / STAT 530a/ PLSC 530a Introductory Data Analysis

Survey of statistical methods: plots, transformations, regression, analysis of variance, clustering, principal components, contingency tables, and time series analysis. The R computing language and Web data sources are used.

Term: Fall
Day/Time: Monday & Wednesday, 1:00pm - 2:15pm

STAT 325a / STAT 625a Case Studies

Statistical analysis of a variety of statistical problems using real data. Emphasis on methods of choosing data, acquiring data, assessing data quality, and the issues posed by extremely large data sets. Extensive computations using R. Limited enrollment, by permission only.

Term: Fall
Day/Time: Tuesday, Thursday 9:00am - 10:15am (tentative) + 1 HTBA

STAT 627ab Statistical Consulting

Statistical consulting and collaborative research projects often require statisticians to explore new topics outside their area of expertise. This course exposes students to real problems, requiring them to draw on their expertise in probability, statistics, and data analysis. Students complete the course with individual projects supervised jointly by faculty outside the department and by one of the instructors. Students enroll for both terms and receive one credit at the end of the year.

Term: Spring
Day/Time: Friday 2:30pm - 4:30pm

STAT 627ab Statistical Consulting

Statistical consulting and collaborative research projects often require statisticians to explore new topics outside their area of expertise. This course exposes students to real problems, requiring them to draw on their expertise in probability, statistics, and data analysis. Students complete the course with individual projects supervised jointly by faculty outside the department and by one of the instructors. Students enroll for both terms and receive one credit at the end of the year.

Term: Fall
Day/Time: Friday 2:30pm - 4:30pm

STAT 662b Statistical Computing

Topics in the practice of data analysis and statistical computing, with particular attention to problems involving massive data sets or large, complex simulations and computations. Programming with R, C/C++, and Python; computational efficiency, memory management, interactive and dynamic graphics, and parallel computing.

Term: Spring
Day/Time: Tuesday & Thursday, 9:00-10:15