This reference describes the indicated catalogue. Check with the institution to confirm the current offer and the conditions applicable to your intake.
Description
Bayesian and causal Bayesian Networks Representation (factorizing joint probabilistic distributions, exploiting probabilistic independence, d- separation, I-map, naive Bayes); parameter learning (maximum likelihood estimation, Bayesian parameter estimation); structure learning (constrained and score-based approaches, Bayesian model averaging); learning with incomplete data (parameter and structure learning, learning with hidden variables); causal Bayesian networks (intervention, SCMs, inference, learning); Inference. Use of R or Python. Lectures, 3 hours per week; lab/tutorial, 1 hour per week Prerequisite(s): STAT 3P85 or the permission of the instructor CO-OP COURSES
Prerequisites
- Prerequisite(s): STAT 3P85 or the permission of the instructor CO-OP COURSES
Conditions and arrangements
- Prerequisite(s): STAT 3P85 or the permission of the instructor CO-OP COURSES
Reference text in its original language
Bayesian and causal Bayesian Networks Representation (factorizing joint probabilistic distributions, exploiting probabilistic independence, d- separation, I-map, naive Bayes); parameter learning (maximum likelihood estimation, Bayesian parameter estimation); structure learning (constrained and score-based approaches, Bayesian model averaging); learning with incomplete data (parameter and structure learning, learning with hidden variables); causal Bayesian networks (intervention, SCMs, inference, learning); Inference. Use of R or Python. Lectures, 3 hours per week; lab/tutorial, 1 hour per week Prerequisite(s): STAT 3P85 or the permission of the instructor CO-OP COURSES
- Prerequisite(s): STAT 3P85 or the permission of the instructor CO-OP COURSES
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://brocku.ca/webcal/2024/undergrad/math.html