Academic Calendar 2022-2023

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STAT 462 Statistical Learning I

STAT 462  Statistical Learning I  Units: 3.00  

A working knowledge of the statistical software R is assumed. Classification; spline and smoothing spline; regularization, ridge regression, and Lasso; model selection; treed-based methods; resampling methods; importance sampling; Markov chain Monte Carlo; Metropolis-Hasting algorithm; Gibbs sampling; optimization. Given jointly with STAT 862.
LEARNING HOURS 120 (36L;84P).

Requirements: Prerequisite ([STAT 361 or ECON 351] and STAT 362) or permission of the Department.  
Offering Faculty: Faculty of Arts and Science  

Mathematics and Statistics

https://www.queensu.ca/academic-calendar/graduate-studies/programs-study/mathematics-statistics/

...sampling; optimization. (Offered jointly with STAT 462.) EXCLUSION: STAT 462 STAT 864 Discrete Time Series...

Mathematics and Statistics (MATH)

https://www.queensu.ca/academic-calendar/graduate-studies/courses-instruction/math/

...sampling; optimization. (Offered jointly with STAT 462.) EXCLUSION: STAT 462 STAT 864 Discrete Time Series...

Academic Programs

https://www.queensu.ca/academic-calendar/arts-science/academic-programs/

...Found ; MUSC 462 Course MUSC 462 Not Found...level. The MATH and STAT Joint Honours Plans...