STSCI 6940

STSCI 6940

Course information provided by the Courses of Study 2023-2024.

Topics are arranged at the beginning of the semester for individual study or for group discussions. Or, students may elect to undertake a project in statistics. The work is supervised by a professor in this subject area.

When Offered Fall, Spring.

Prerequisites/Corequisites Prerequisite: MATH 6710.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • Topic: Time Series and Spatio Data Sci

  •  9250 STSCI 6940   LEC 001

  • Instruction Mode: In Person
    Topics covered will include linear and non-linear, univariate and multivariate time series, exploratory methods for spatiotemporal data, spatiotemporal covariance functions, kriging, and hierarchical spatial models. Additional topics may include spatiotemporal modeling, seasonal modeling, spectral analysis, empirical orthogonal function analysis, discrete-valued time series, factor models, high-dimensional time series, functional time series, network time series, non-stationary time series, change point analysis, and point process modeling. Many applications may be considered, from nance and economics, to neuroscience and biophysics, to urban informatics and emergency medical services.

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • Topic: Readings & Research in High Dimensional Statistics

  • 20570 STSCI 6940   LEC 002

  • Instruction Mode: In Person