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A new Bayesian formulation for Holt's exponential smoothing by Robert R. Andrawis; Amir F. Atiya is a Economics, Econometrics and Finance article available to read on EtoBox.
What is A new Bayesian formulation for Holt's exponential smoothing about?
## Abstract In this paper we propose a Bayesian forecasting approach for Holt's additive exponential smoothing method. Starting from the state space formulation, a formula for the forecast is derived and reduced to a two‐dimensional integration that can be computed numerically in a straightforward way. In contrast to much of the work for exponential smoothing, this method produces the forecast density and, in addition, it considers the initial level and initial trend as part of the parameters to be evaluated. Another contribution of this paper is that we have derived a way to reduce the computation of the maximum likelihood parameter estimation procedure to that of evaluating a two‐dimensional grid, rather than applying a five‐variable optimization procedure. Simulation experiments confirm that both proposed methods give favorable performance compared to other approaches. Copyright © 2008 John Wiley & Sons, Ltd.
Who reads A new Bayesian formulation for Holt's exponential smoothing?
It is typically read by researchers, students, and practitioners in Economics, Econometrics and Finance.
- Author
- Robert R. Andrawis; Amir F. Atiya
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6693)
- Published
- 2008
- Language
- EN
- Field
- Economics, Econometrics and Finance (Social Sciences)