Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective

DOI10.1214/16-EJS1165zbMath1346.62060MaRDI QIDQ309573

Pietro Muliere, Filippo Taddei, Igor Prünster, Antonio Lijoi

Publication date: 7 September 2016

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1468954727

zbMATH Keywords

asymptoticseconomic growthBayesian nonparametricsaggregate volatilityPoisson-Dirichlet process

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Bayesian inference (62F15) Economic growth models (91B62) Random measures (60G57)

Related Items (1)

Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process

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