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MATH 80816A

Econometric Causality and Machine Learning for Business Applications

3 credits · Doctorat

Analysis of data driven case studies and the associated estimation methods used to make causal statements in the context of business applications. Particual emphasis will be given to the causal questions associated to business applications in Economics, Finance, Management, Marketing, IT, HR, etc.

Prerequisites & course information

Course in French : MATH 80816 For Ph. D. students : There is no mandatory prerequisite course, but it is recommended to have an introductory econometrics course before attending 80816A. Préalable(s) : MATH 60816(A)

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