Machine learning econometrics : Bayesian algorithms and methods
Dimitris Korobilis (University of Glasgow), Davide Pettenuzzo (International Business School, Brandeis University)
| Year of publication: |
April 19, 2020
|
|---|---|
| Authors: | Korobilis, Dimitris ; Pettenuzzo, Davide |
| Publisher: |
Waltham, MA : Brandeis University, Department of Economics and International Business School |
| Subject: | MCMC | approximate inference | scalability | parallel computation | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Bayes-Statistik | Bayesian inference | Algorithmus | Algorithm | Ökonometrie | Econometrics | Monte-Carlo-Simulation | Monte Carlo simulation | Computerunterstützung | Computerized method | Markov-Kette | Markov chain | Prognoseverfahren | Forecasting model | Induktive Statistik | Statistical inference |
freely available
| Extent: | 1 Online-Ressource (circa 34 Seiten) |
|---|---|
| Series: | Working papers / Brandeis University, Department of Economics and International Business School. - Waltham, Mass., ZDB-ID 2729889-9. - Vol. 130 |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012243263