— Topics in Applied & Computational Statistics

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Resampling, nonparametric and semiparametric methods, incomplete data analysis, diagnostics, multivariate and time series analysis, applied Bayesian methods, sequential analysis and quality control, categorical data analysis, spatial and image analysis, computational biology, functional data analysis, models for correlated data, learning theory. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Repeat Credit: May be repeated. Grade Mode: Letter. STA 250 — Topics in Applied & Computational Statistics (4 units) Course Description: Resampling, nonparametric and semiparametric methods, incomplete data analysis, diagnostics, multivariate and time series analysis, applied Bayesian methods, sequential analysis and quality control, categorical data analysis, spatial and image analysis, computational biology, functional data analysis, models for correlated data, learning theory. Prerequisite(s): STA 131A ; STA 232A recommended, not required. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics and Biostatistics graduate students; Pass Two restricted to graduate students. Repeat Credit: May be repeated. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Repeat Credit: May be repeated. Grade Mode: Letter. STA 250 — Topics in Applied & Computational Statistics (4 units) Course Description: Resampling, nonparametric and semiparametric methods, incomplete data analysis, diagnostics, multivariate and time series analysis, applied Bayesian methods, sequential analysis and quality control, categorical data analysis, spatial and image analysis, computational biology, functional data analysis, models for correlated data, learning theory. Prerequisite(s): STA 131A ; STA 232A recommended, not required. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics and Biostatistics graduate students; Pass Two restricted to graduate students. Repeat Credit: May be repeated. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.