The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions

Fuente: arXiv
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Autores principales: Kohns, David, Kallioinen, Noa, McLatchie, Yann, Vehtari, Aki
Formato: Preprint
Publicado: 2024
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author Kohns, David
Kallioinen, Noa
McLatchie, Yann
Vehtari, Aki
author_facet Kohns, David
Kallioinen, Noa
McLatchie, Yann
Vehtari, Aki
contents We present the ARR2 prior, a joint prior over the auto-regressive components in Bayesian time-series models and their induced $R^2$. Compared to other priors designed for times-series models, the ARR2 prior allows for flexible and intuitive shrinkage. We derive the prior for pure auto-regressive models, and extend it to auto-regressive models with exogenous inputs, and state-space models. Through both simulations and real-world modelling exercises, we demonstrate the efficacy of the ARR2 prior in improving sparse and reliable inference, while showing greater inference quality and predictive performance than other shrinkage priors. An open-source implementation of the prior is provided.
format Preprint
id arxiv_https___arxiv_org_abs_2405_19920
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions
Kohns, David
Kallioinen, Noa
McLatchie, Yann
Vehtari, Aki
Computation
Econometrics
We present the ARR2 prior, a joint prior over the auto-regressive components in Bayesian time-series models and their induced $R^2$. Compared to other priors designed for times-series models, the ARR2 prior allows for flexible and intuitive shrinkage. We derive the prior for pure auto-regressive models, and extend it to auto-regressive models with exogenous inputs, and state-space models. Through both simulations and real-world modelling exercises, we demonstrate the efficacy of the ARR2 prior in improving sparse and reliable inference, while showing greater inference quality and predictive performance than other shrinkage priors. An open-source implementation of the prior is provided.
title The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions
topic Computation
Econometrics
url https://arxiv.org/abs/2405.19920