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A Simple Class of Bayesian Nonparametric Autoregression Models

We introduce a model for a time series of continuous outcomes, that can be expressed as fully nonparametric regression or density regression on lagged terms. The model is based on a dependent Dirichlet process prior on a family of random probability measures indexed by the lagged covariates. The app...

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Bibliografiske detaljer
Udgivet i:Bayesian Anal
Main Authors: Di Lucca, Maria Anna, Guglielmi, Alessandra, Müller, Peter, Quintana, Fernando A.
Format: Artigo
Sprog:Inglês
Udgivet: 2013
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4454430/
https://ncbi.nlm.nih.gov/pubmed/26052373
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/13-BA803
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