Bayesian model averaging for spatial autoregressive models based on convex combinations of different types of connectivity matrices
Nicolas Debarsy and James P. LeSage
| Year of publication: |
2022
|
|---|---|
| Authors: | Debarsy, Nicolas ; Lesage, James P. |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 40.2022, 2, p. 547-558
|
| Subject: | Block sampling parameters for a convex combination | Cross-sectional dependence | Hedonic price model | Markov chain Monte Carlo estimation | SAR | Theorie | Theory | Bayes-Statistik | Bayesian inference | Markov-Kette | Markov chain | Monte-Carlo-Simulation | Monte Carlo simulation | Autokorrelation | Autocorrelation | Hedonischer Preisindex | Hedonic price index | Schätzung | Estimation | Stichprobenerhebung | Sampling |
| Description of contents: | Description [tandfonline.com] |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07350015.2020.1840993 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013533452