Kniha Machine Learning for Econometrics Jeremy L'Hour

Machine Learning for Econometrics

Autor: Jeremy L'Hour
Jazyk: Angličtina
Väzba: Pevná
Dostupnosť: Skladom u dodávateľa
Odosielame za 9-15 dní
132.52
Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2025
Stránok
352
EAN
9780198918820
ISBN
0198918828
Enbook ID
47057704
Hmotnosť
772
Rozmery
171 x 246

Kompletný popis

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data. The volume covers automatic variable selection in various high-dimensional contexts, estimation of treatment effect heterogeneity, natural language processing (NLP) techniques, as well as synthetic control and macroeconomic forecasting. The foundations of machine learning methods are introduced to provide both a thorough theoretical treatment of how they can be used in econometrics and numerous economic applications, and each chapter contains a series of empirical examples, programs, and exercises to facilitate the reader''s adoption and implementation of the techniques.

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