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February 2021 An introduction to Bent Jørgensen’s ideas
Gauss M. Cordeiro, Rodrigo Labouriau, Denise A. Botter
Braz. J. Probab. Stat. 35(1): 2-20 (February 2021). DOI: 10.1214/19-BJPS458

Abstract

We briefly expose some key aspects of the theory and use of dispersion models, for which Bent Jørgensen played a crucial role as a driving force and an inspiration source. Starting with the general notion of dispersion models, built using minimalistic mathematical assumptions, we specialize in two classes of families of distributions with different statistical flavors: exponential dispersion and proper dispersion models. The construction of dispersion models involves the solution of integral equations that are, in general, untractable. These difficulties disappear when more mathematical structure is assumed: it reduces to the calculation of a moment generating function or of a Riemann–Stieltjes integral for the exponential dispersion and the proper dispersion models, respectively. A new technique for constructing dispersion models based on characteristic functions is introduced turning the integral equations above into a tractable convolution equation and yielding examples of dispersion models that are neither proper dispersion nor exponential dispersion models. A corollary is that the cardinality of regular and non-regular dispersion models are both large.

Some selected applications are discussed including exponential families non-linear models (for which generalized linear models are particular cases) and several models for clustered and dependent data based on a latent Lévy process.

Citation

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Gauss M. Cordeiro. Rodrigo Labouriau. Denise A. Botter. "An introduction to Bent Jørgensen’s ideas." Braz. J. Probab. Stat. 35 (1) 2 - 20, February 2021. https://doi.org/10.1214/19-BJPS458

Information

Received: 1 September 2019; Accepted: 1 September 2019; Published: February 2021
First available in Project Euclid: 6 January 2021

MathSciNet: MR4195756
Digital Object Identifier: 10.1214/19-BJPS458

Rights: Copyright © 2021 Brazilian Statistical Association

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Vol.35 • No. 1 • February 2021
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