En raison d'une grêve chez bpost, votre commande pourrait être retardée. Vous avez besoin d’un livre rapidement ? Nos magasins vous accueillent à bras ouverts !
- Retrait gratuit dans votre magasin Club
- 7.000.000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
En raison de la grêve chez bpost, votre commande pourrait être retardée. Vous avez besoin d’un livre rapidement ? Nos magasins vous accueillent à bras ouverts !
- Retrait gratuit dans votre magasin Club
- 7.000.0000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
Rescuing Econometrics
From the Probability Approach to Probably Approximately Correct Learning
Duo Qin
274,95 €
+ 549 points
Description
Haavelmo's 1944 monograph, The Probability Approach in Econometrics, is widely acclaimed as the manifesto of econometrics. This book challenges Haavelmo's probability approach, shows how its use is delivering defective and inefficient results, and argues for a paradigm shift in econometrics towards a full embrace of machine learning, with its attendant benefits.
Machine learning has only come into existence over recent decades, whereas the universally accepted and current form of econometrics has developed over the past century. A comparison between the two is, however, striking. The practical achievements of machine learning significantly outshine those of econometrics, confirming the presence of widespread inefficiencies in current econometric research. The relative efficiency of machine learning is based on its theoretical foundation, and particularly on the notion of Probably Approximately Correct (PAC) learning. Careful examination reveals that PAC learning theory delivers the goals of applied economic modelling research far better than Haavelmo's probability approach. Econometrics should therefore renounce its outdated foundation, and rebuild itself upon PAC learning theory so as to unleash its pent-up research potential. The book is catered for applied economists, econometricians, economists specialising in the history and methodology of economics, advanced students, philosophers of social sciences.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 100
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9781032586052
- Date de parution :
- 01-12-23
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 340 g
Les avis
Nous publions uniquement les avis qui respectent les conditions requises. Consultez nos conditions pour les avis.