2 classes matched your search criteria.
STAT 8051 is also offered in Fall 2024
STAT 8051 is also offered in Fall 2023
STAT 8051 is also offered in Fall 2022
STAT 8051 is also offered in Fall 2021
Fall 2020 | STAT 8051 Section 001: Advanced Regression Techniques: linear, nonlinear and nonparametric methods (16400)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
Online Course
- Enrollment Requirements:
- Stat grad student
- Times and Locations:
Regular Academic Session
Mon,
Wed,
Fri 12:20PM - 01:10PM
Off Campus
UMN REMOTE
- Enrollment Status:
Open (29 of 40 seats filled)
- Also Offered:
- Course Catalog Description:
- Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent prereq: Statistics grad or instr consent
- Class Notes:
- Some lectures will be at regular time (with recording) and some will be recorded beforehand. This is for both lecture and lab. Students will be notified by email which lectures would be at the regular time and which would be pre-recorded.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/16400/1209
Fall 2020 | STAT 8051 Section 002: Advanced Regression Techniques: linear, nonlinear and nonparametric methods (16439)
- Instructor(s)
- Class Component:
- Laboratory
- Class Attributes:
Online Course
- Times and Locations:
- Auto Enrolls With:
- Section 001
- Enrollment Status:
Open (29 of 40 seats filled)
- Course Catalog Description:
- Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent prereq: Statistics grad or instr consent
- Class Notes:
- Some lectures will be at regular time (with recording) and some will be recorded beforehand. This is for both lecture and lab. Students will be notified by email which lectures would be at the regular time and which would be pre-recorded.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/16439/1209
ClassInfo Links - Fall 2020 Statistics Classes