MLE Machine Learning in Econometrics ?
-
- 0 Rating
- 0 Reviews
- 1 Students Enrolled
MLE Machine Learning in Econometrics ?
Machine Learning (ML) approaches to Econometrics are presented. It is discovered that ML not only provides new tools: it solves a different problem!
-
- 0 Rating
- 0 Reviews
- 1 Students Enrolled
Requirements
- MVA knowledge
General Overview
Description
MLE Machine Learning in Econometrics ?
- ML produces predictions of y from x
- ML manages to uncover generalizable patterns
- ML discovers flexible data relations without overfitting
- Traditional E’tcs likes to produce good estimates of parameters ß that underlie the relationship between y and x
- Estimates are to be consistent
- Rely on assumptions on DGP
Discover the magic 42 (test in 2025) in you! MLE is what? a) Max Likelihood Estimation b) ML in Etrics?
Recommended for you
Meet the instructors !
Wolfgang Karl HÄRDLE attained his Dr. rer. nat. in Mathematics at Universität Heidelberg in 1982 and in 1988 his habilitation at Universität Bonn. He is Ladislaus von Bortkiewicz Professor of Statistics at Humboldt-Universität zu Berlin and the director of the Sino German Graduate School (洪堡大学 + 厦门大学) IRTG1792 on “High dimensional non stationary time series analysis”. He directs IDA Institute for Digital Assets,
University of Economic Studies, Bucharest, RO. His research focuses on data analytics, dimension reduction and quantitative finance. He has published over 30 books and more than 300 papers in top statistical, econometrics and finance journals. He is highly ranked and cited on Google Scholar, REPEC and SSRN. He has professional experience in financial engineering, S.M.A.R.T. (Specific, Measurable, Achievable, Relevant, Timely) data analytics, machine learning and cryptocurrency markets. He has created the www.quantlet.com platform, a cryptocurrency index, CRIX www.royalton-crix.com He is 玉山学者 （Yushan Scholar), web page hu.berlin/wkh