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In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...
Persistent link: https://www.econbiz.de/10010322563
Persistent link: https://www.econbiz.de/10001606013
In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...
Persistent link: https://www.econbiz.de/10009348026
Persistent link: https://www.econbiz.de/10013329453
Persistent link: https://www.econbiz.de/10014261214