We consider the problem of deriving formal objective priors for the causal/stationary autoregressive model of order p. We compare the frequentist behaviour of the most common default priors, namely the uniform (over the stationarity region) prior, the Jeffreys' prior and the reference prior.

Objective priors for causal AR(p) with partial autocorrelations / Liseo, Brunero; Christian, Macaro. - In: JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. - ISSN 0094-9655. - STAMPA. - 83:9(2013), pp. 1613-1628. [10.1080/00949655.2012.667409]

Objective priors for causal AR(p) with partial autocorrelations

LISEO, Brunero;
2013

Abstract

We consider the problem of deriving formal objective priors for the causal/stationary autoregressive model of order p. We compare the frequentist behaviour of the most common default priors, namely the uniform (over the stationarity region) prior, the Jeffreys' prior and the reference prior.
2013
bayesian inference; dependent data; jeffreys' prior; complex roots; 62f15
01 Pubblicazione su rivista::01a Articolo in rivista
Objective priors for causal AR(p) with partial autocorrelations / Liseo, Brunero; Christian, Macaro. - In: JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. - ISSN 0094-9655. - STAMPA. - 83:9(2013), pp. 1613-1628. [10.1080/00949655.2012.667409]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/443032
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