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General dependence structures for some models based on exponential families with quadratic variance functions

Luis Nieto-Barajas () and Eduardo Gutiérrez-Peña ()
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Luis Nieto-Barajas: ITAM
Eduardo Gutiérrez-Peña: IIMAS-UNAM

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2022, vol. 31, issue 3, No 6, 699-716

Abstract: Abstract We describe a procedure to introduce general dependence structures on a set of random variables. These include order-q moving average-type structures, as well as seasonal, periodic, spatial and spatio-temporal dependences. The invariant marginal distribution can be in any family that is conjugate to an exponential family with quadratic variance function. Dependence is induced via a set of suitable latent variables whose conditional distribution mirrors the sampling distribution in a Bayesian conjugate analysis of such exponential families. We obtain strict stationarity as a special case.

Keywords: Autoregressive process; Conjugate family; Exponential family; Latent variable; Moving average process; Stationary process; 62M10; 62E15 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11749-021-00798-4

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