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STA 410H1

Statistical Computation

0.5 credits · Undergraduate

Programming in an interactive statistical environment. Generating random variates and evaluating statistical methods by simulation. Algorithms for linear models, maximum likelihood estimation, and Bayesian inference. Statistical algorithms such as the Kalman filter and the EM algorithm. Graphical display of data.

Prerequisites & course information

Prerequisite: STA302H1 / STAC67H3 / STA302H5 ; CSC110Y1 / CSC148H1 / CSCA48H3 / CSC148H5 ; MAT223H1 / MAT224H1 / MAT240H1 / MATA22H3 / MATA23H3 / MAT223H5 / MAT240H5 / MATB24H3 / MAT224H5; Prerequisite:

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